Recession Indicators

Introduction

For one of my machine learning classes we had a project that consumed financial data. I have extended that project to use machine learning to see if an indicator, or predictor, can be found that identifies market tops that occur prior to recessions. Then I use the model to build a trading strategy and backtest it to see how it performs.

Get Economic and Financial Data

Acquiring the data consists of two steps. First the code pulls the data into zoo objects which are then collapsed into a single data frame (df.data). Features are extracted from these series and added to the df.data data frame.

Sample call to pull economic data

Data is pulled from several sources include FRED, yahoo, and Google. The code below shows an example that pulls in the consumer price index (CPI) from the FRED. I pull data using quantmod, Quandl, and some manual extractions stored in spreadsheets.

# Consumer Price Index for All Urban Consumers: All Items
if (bRefresh == TRUE) {
  getSymbols("CPIAUCSL", src = "FRED", auto.assign = TRUE)
}

## [1] "CPIAUCSL"

## [1] "CPIAUCSL"
## [1] "USREC"
## [1] "UNRATE"
## [1] "PCEPI"
## [1] "CCSA"
## [1] "CCNSA"
## [1] "NPPTTL"
## [1] "U6RATE"
## [1] "PAYNSA"
## [1] "TABSHNO"
## [1] "HNONWPDPI"
## [1] "INDPRO"
## [1] "RRSFS"
## [1] "RSALES"
## [1] "W875RX1"
## [1] "RPI"
## [1] "PCOPPUSDM"
## [1] "NOBL"
## [1] "SCHD"
## [1] "PFF"
## [1] "HPI"
## [1] "GSFTX"
## [1] "LFMIX"
## [1] "LFMCX"
## [1] "LFMAX"
## [1] "LCSIX"
## [1] "BSV"
## [1] "VBIRX"
## [1] "BIV"
## [1] "VFSUX"
## [1] "LTUIX"
## [1] "PTTPX"
## [1] "NERYX"
## [1] "STIGX"
## [1] "HLGAX"
## [1] "FTRGX"
## [1] "THIIX"
## [1] "PTTRX"
## [1] "BFIGX"
## [1] "VTWO"
## [1] "EIFAX"

## Warning: ASDAX contains missing values. Some functions will not work if objects
## contain missing values in the middle of the series. Consider using na.omit(),
## na.approx(), na.fill(), etc to remove or replace them.

## [1] "ASDAX"
## [1] "TRBUX"
## [1] "PRVIX"
## [1] "PRWCX"
## [1] "ADOZX"
## [1] "MERFX"
## [1] "CMNIX"
## [1] "CIHEX"
## [1] "IMPCH"
## [1] "EXPCH"
## [1] "IMPMX"
## [1] "EXPMX"
## [1] "HSN1FNSA"
## [1] "HNFSUSNSA"
## [1] "BUSLOANS"
## [1] "TOTCI"
## [1] "BUSLOANSNSA"
## [1] "REALLNNSA"
## [1] "REALLN"
## [1] "RELACBW027NBOG"
## [1] "RELACBW027SBOG"
## [1] "RREACBM027NBOG"
## [1] "RREACBM027SBOG"
## [1] "RREACBW027SBOG"
## [1] "RREACBW027NBOG"
## [1] "MORTGAGE30US"
## [1] "CONSUMERNSA"
## [1] "TOTLLNSA"
## [1] "DPSACBW027SBOG"
## [1] "DRCLACBS"
## [1] "TOTCINSA"
## [1] "SRPSABSNNCB"
## [1] "ASTLL"
## [1] "FBDILNECA"
## [1] "ASOLAL"
## [1] "ASTMA"
## [1] "ASHMA"
## [1] "ASMRMA"
## [1] "ASCMA"
## [1] "ASFMA"
## [1] "CCLBSHNO"
## [1] "FBDSILQ027S"
## [1] "FBLL"
## [1] "NCBDBIQ027S"
## [1] "DGS10"

## Warning: ^TNX contains missing values. Some functions will not work if objects
## contain missing values in the middle of the series. Consider using na.omit(),
## na.approx(), na.fill(), etc to remove or replace them.

## [1] "TNX"

## Warning: CL=F contains missing values. Some functions will not work if objects
## contain missing values in the middle of the series. Consider using na.omit(),
## na.approx(), na.fill(), etc to remove or replace them.

## [1] "CLF"
## [1] "DGS30"
## [1] "DGS1"
## [1] "DGS2"
## [1] "TB3MS"
## [1] "DTB3"

## Warning: ^IRX contains missing values. Some functions will not work if objects
## contain missing values in the middle of the series. Consider using na.omit(),
## na.approx(), na.fill(), etc to remove or replace them.

## [1] "IRX"
## [1] "DCOILWTICO"
## [1] "DCOILBRENTEU"
## [1] "NEWORDER"
## [1] "ALTSALES"
## [1] "ICSA"
## [1] "GSPC"
## [1] "FXAIX"
## [1] "FTIHX"
## [1] "MDIZX"
## [1] "DODIX"

## Warning: ^RLG contains missing values. Some functions will not work if objects
## contain missing values in the middle of the series. Consider using na.omit(),
## na.approx(), na.fill(), etc to remove or replace them.

## [1] "RLG"
## [1] "DJI"

## Warning: ^STOXX50E contains missing values. Some functions will not work if
## objects contain missing values in the middle of the series. Consider using
## na.omit(), na.approx(), na.fill(), etc to remove or replace them.

## [1] "STOXX50E"
## [1] "EFA"
## [1] "GDP"
## [1] "FNDEFX"
## [1] "FDEFX"
## [1] "GDPNOW"
## [1] "GDPC1"
## [1] "GDPDEF"
## [1] "VIG"
## [1] "WLRRAL"
## [1] "FEDFUNDS"
## [1] "GPDI"
## [1] "W790RC1Q027SBEA"
## [1] "MZMV"
## [1] "M1"
## [1] "M2"
## [1] "OPHNFB"
## [1] "IPMAN"
## [1] "IWD"
## [1] "GS5"
## [1] "PSAVERT"
## [1] "VIXCLS"
## [1] "VXX"
## [1] "HOUST1F"
## [1] "GFDEBTN"
## [1] "HOUST"
## [1] "MSPUS"
## [1] "UMDMNO"
## [1] "DGORDER"
## [1] "CSUSHPINSA"
## [1] "GFDEGDQ188S"
## [1] "FYFSD"
## [1] "FYFSGDA188S"
## [1] "GDX"
## [1] "XLE"
## [1] "GSG"
## [1] "WALCL"
## [1] "OUTMS"
## [1] "MANEMP"
## [1] "PRS30006163"
## [1] "BAMLC0A3CA"
## [1] "AAA"
## [1] "SOFR"
## [1] "SOFRVOL"
## [1] "SOFR99"
## [1] "SOFR75"
## [1] "SOFR25"
## [1] "SOFR1"
## [1] "OBFR"
## [1] "OBFR99"
## [1] "OBFR75"
## [1] "OBFR25"
## [1] "OBFR1"
## [1] "RPONTSYD"
## [1] "IOER"
## [1] "WRESBAL"
## [1] "EXCSRESNW"
## [1] "ECBASSETS"
## [1] "EUNNGDP"
## [1] "CEU0600000007"
## [1] "CURRENCY"
## [1] "WCURRNS"
## [1] "BOGMBASE"
## [1] "PRS88003193"
## [1] "PPIACO"
## [1] "PCUOMFGOMFG"
## [1] "POPTHM"
## [1] "POPTHM"
## [1] "CLF16OV"
## [1] "LNU01000000"
## [1] "LNU03000000"
## [1] "UNEMPLOY"
## [1] "RSAFS"
## [1] "FRGSHPUSM649NCIS"
## [1] "BOPGTB"
## [1] "TERMCBPER24NS"
## [1] "A065RC1A027NBEA"
## [1] "PI"
## [1] "PCE"
## [1] "A053RC1Q027SBEA"
## [1] "CPROFIT"
## [1] "SPY"
## [1] "MDY"
## [1] "EES"
## [1] "IJR"
## [1] "VGSTX"
## [1] "VFINX"
## [1] "VOE"
## [1] "VOT"

## Warning: TMFGX contains missing values. Some functions will not work if objects
## contain missing values in the middle of the series. Consider using na.omit(),
## na.approx(), na.fill(), etc to remove or replace them.

## [1] "TMFGX"
## [1] "IWM"
## [1] "ONEQ"
## [1] "FSMAX"
## [1] "FXNAX"
## [1] "HAINX"
## [1] "HNACX"
## [1] "VEU"
## [1] "VEIRX"
## [1] "BIL"
## [1] "IVOO"
## [1] "VO"
## [1] "CZA"
## [1] "VYM"
## [1] "ACWI"
## [1] "SLY"
## [1] "QQQ"
## [1] "HYMB"
## [1] "GOLD"
## [1] "BKR"
## [1] "SLB"
## [1] "HAL"
## [1] "IP"
## [1] "PKG"
## [1] "UPS"
## [1] "FDX"
## [1] "T"
## [1] "VZ"

Load up the EIA data

## Warning in .getMonEIA(ID, key = key): NAs introduced by coercion

## Warning in .getMonEIA(ID, key = key): NAs introduced by coercion

Load rig count data

The Baker Hughes rig count numbers

USDA data

Loading in farm data

## Warning in read_fun(path = enc2native(normalizePath(path)), sheet_i = sheet, :
## Expecting numeric in E3 / R3C5: got a date

## New names:
## * `` -> ...1
## * `` -> ...2
## * `` -> ...3
## * `` -> ...4
## * `` -> ...5
## * ...

## Warning: NAs introduced by coercion

Loading in Silverblatt’s S&P 500 spreadsheet starting with the quarterly data.

## New names:
## * `` -> ...2
## * `` -> ...3
## * `` -> ...5
## * `` -> ...6
## * `` -> ...7

Now load in the estimates

## New names:
## * `` -> ...2
## * `` -> ...3
## * `` -> ...4
## * `` -> ...5
## * `` -> ...6
## * ...

Covid 19 Data

Get the Covid-19 data from JHU

## Rows: 671274 Columns: 15
## -- Column specification ------------------------------------------------------------------------------------------------
## Delimiter: ","
## chr  (8): province, country, type, iso2, iso3, combined_key, continent_name,...
## dbl  (6): lat, long, cases, uid, code3, population
## date (1): date
## 
## i Use `spec()` to retrieve the full column specification for this data.
## i Specify the column types or set `show_col_types = FALSE` to quiet this message.
## Downloading GitHub repo RamiKrispin/coronavirus@master

##   
  
  
v  checking for file 'C:\Users\Rainy\AppData\Local\Temp\RtmpCibiiW\remotes1e90c1122ad\RamiKrispin-coronavirus-4620449/DESCRIPTION'
## 
  
  
  
-  preparing 'coronavirus': (1.4s)
##    checking DESCRIPTION meta-information ...
  
   checking DESCRIPTION meta-information ... 
  
v  checking DESCRIPTION meta-information
## 
  
  
  
-  checking for LF line-endings in source and make files and shell scripts (344ms)
## 
  
  
  
-  checking for empty or unneeded directories
## 
  
  
  
-  building 'coronavirus_0.3.32.tar.gz'
## 
  
   
## 

## Caught an warning!

## <simpleWarning: package 'coronavirus' is in use and will not be installed>

## `summarise()` has grouped output by 'country'. You can override using the
## `.groups` argument.

## Warning: Removed 3 row(s) containing missing values (geom_path).

Feature Extraction

With the raw data downloaded, some of the interesting features can be extracted. The first step is reconcile the time intervals. Some of the data is released monthly and some daily. I chose to interpolate all data to a daily interval. The first section of code adds the daily rows to the dataframe.

The code performs interpolation for continuous data or carries it forward for binary data like the recession indicators.

source("calcInterpolate.r")
df.data <- calcInterpolate(df.symbols)

## Warning in merge.xts(xtsData, get(df.symbols$string.symbol[idx])): NAs
## introduced by coercion

Truncate data

Create aggregate series

Some analysis requires that two or more series be combined. For example, normallizing debt by GDP to get a sense of the proportion of debt to the total economy helps understand the debt cycle.

Year over year, smoothed derivative, and log trends tend to smooth out seasonal variation. It gets used so often that I do this for every series downloaded.

source("calcFeatures.r")
lst.df <- calcFeatures(df.data, df.symbols)

## [1] "USREC has zero or negative values. Log series will be zero."
## [1] "GSFTX.Volume has zero or negative values. Log series will be zero."
## [1] "LFMIX.Volume has zero or negative values. Log series will be zero."
## [1] "LFMCX.Volume has zero or negative values. Log series will be zero."
## [1] "LFMAX.Volume has zero or negative values. Log series will be zero."
## [1] "LCSIX.Volume has zero or negative values. Log series will be zero."
## [1] "VBIRX.Volume has zero or negative values. Log series will be zero."
## [1] "VFSUX.Volume has zero or negative values. Log series will be zero."
## [1] "LTUIX.Volume has zero or negative values. Log series will be zero."
## [1] "PTTPX.Volume has zero or negative values. Log series will be zero."
## [1] "NERYX.Volume has zero or negative values. Log series will be zero."
## [1] "STIGX.Volume has zero or negative values. Log series will be zero."
## [1] "HLGAX.Volume has zero or negative values. Log series will be zero."
## [1] "FTRGX.Volume has zero or negative values. Log series will be zero."
## [1] "THIIX.Volume has zero or negative values. Log series will be zero."
## [1] "PTTRX.Volume has zero or negative values. Log series will be zero."
## [1] "BFIGX.Volume has zero or negative values. Log series will be zero."
## [1] "EIFAX.Volume has zero or negative values. Log series will be zero."
## [1] "ASDAX.Volume has zero or negative values. Log series will be zero."
## [1] "TRBUX.Volume has zero or negative values. Log series will be zero."
## [1] "PRVIX.Volume has zero or negative values. Log series will be zero."
## [1] "PRWCX.Volume has zero or negative values. Log series will be zero."
## [1] "ADOZX.Volume has zero or negative values. Log series will be zero."
## [1] "MERFX.Volume has zero or negative values. Log series will be zero."
## [1] "CMNIX.Volume has zero or negative values. Log series will be zero."
## [1] "CIHEX.Volume has zero or negative values. Log series will be zero."
## [1] "SRPSABSNNCB has zero or negative values. Log series will be zero."
## [1] "TNX.Volume has zero or negative values. Log series will be zero."
## [1] "CLF.Open has zero or negative values. Log series will be zero."
## [1] "CLF.Low has zero or negative values. Log series will be zero."
## [1] "CLF.Close has zero or negative values. Log series will be zero."
## [1] "CLF.Volume has zero or negative values. Log series will be zero."
## [1] "CLF.Adjusted has zero or negative values. Log series will be zero."
## [1] "DTB3 has zero or negative values. Log series will be zero."
## [1] "IRX.Open has zero or negative values. Log series will be zero."
## [1] "IRX.High has zero or negative values. Log series will be zero."
## [1] "IRX.Low has zero or negative values. Log series will be zero."
## [1] "IRX.Close has zero or negative values. Log series will be zero."
## [1] "IRX.Volume has zero or negative values. Log series will be zero."
## [1] "IRX.Adjusted has zero or negative values. Log series will be zero."
## [1] "DCOILWTICO has zero or negative values. Log series will be zero."
## [1] "FXAIX.Volume has zero or negative values. Log series will be zero."
## [1] "FTIHX.Volume has zero or negative values. Log series will be zero."
## [1] "MDIZX.Volume has zero or negative values. Log series will be zero."
## [1] "DODIX.Volume has zero or negative values. Log series will be zero."
## [1] "RLG.Volume has zero or negative values. Log series will be zero."
## [1] "STOXX50E.Volume has zero or negative values. Log series will be zero."
## [1] "GDPNOW has zero or negative values. Log series will be zero."
## [1] "W790RC1Q027SBEA has zero or negative values. Log series will be zero."
## [1] "VXX.Volume has zero or negative values. Log series will be zero."
## [1] "FYFSD has zero or negative values. Log series will be zero."
## [1] "FYFSGDA188S has zero or negative values. Log series will be zero."
## [1] "SOFR25 has zero or negative values. Log series will be zero."
## [1] "SOFR1 has zero or negative values. Log series will be zero."
## [1] "RPONTSYD has zero or negative values. Log series will be zero."
## [1] "BOPGTB has zero or negative values. Log series will be zero."
## [1] "EES.Volume has zero or negative values. Log series will be zero."
## [1] "VGSTX.Volume has zero or negative values. Log series will be zero."
## [1] "VFINX.Volume has zero or negative values. Log series will be zero."
## [1] "TMFGX.Volume has zero or negative values. Log series will be zero."
## [1] "FSMAX.Volume has zero or negative values. Log series will be zero."
## [1] "FXNAX.Volume has zero or negative values. Log series will be zero."
## [1] "HAINX.Volume has zero or negative values. Log series will be zero."
## [1] "HNACX.Volume has zero or negative values. Log series will be zero."
## [1] "VEIRX.Volume has zero or negative values. Log series will be zero."
## [1] "IVOO.Volume has zero or negative values. Log series will be zero."
## [1] "VO.Volume has zero or negative values. Log series will be zero."
## [1] "CZA.Volume has zero or negative values. Log series will be zero."
## [1] "SLY.Volume has zero or negative values. Log series will be zero."
## [1] "HYMB.Volume has zero or negative values. Log series will be zero."
## [1] "GOLD.Open has zero or negative values. Log series will be zero."
## [1] "GOLD.Volume has zero or negative values. Log series will be zero."
## [1] "BKR.Open has zero or negative values. Log series will be zero."
## [1] "BKR.Volume has zero or negative values. Log series will be zero."
## [1] "HAL.Open has zero or negative values. Log series will be zero."
## [1] "HAL.Volume has zero or negative values. Log series will be zero."
## [1] "IP.Open has zero or negative values. Log series will be zero."
## [1] "T.Open has zero or negative values. Log series will be zero."
## [1] "OPEARNINGSPERSHARE has zero or negative values. Log series will be zero."
## [1] "AREARNINGSPERSHARE has zero or negative values. Log series will be zero."
## [1] "OCCEquityVolume has zero or negative values. Log series will be zero."
## [1] "OCCNonEquityVolume has zero or negative values. Log series will be zero."
## [1] "BUSLOANS.minus.BUSLOANSNSA has zero or negative values. Log series will be zero."
## [1] "BUSLOANS.minus.BUSLOANSNSA.by.GDP has zero or negative values. Log series will be zero."
## [1] "EXPCH.minus.IMPCH has zero or negative values. Log series will be zero."
## [1] "EXPMX.minus.IMPMX has zero or negative values. Log series will be zero."
## [1] "SRPSABSNNCB.by.GDP has zero or negative values. Log series will be zero."
## [1] "DGS30TO10 has zero or negative values. Log series will be zero."
## [1] "DGS10TO1 has zero or negative values. Log series will be zero."
## [1] "DGS10TO2 has zero or negative values. Log series will be zero."
## [1] "DGS10TOTB3MS has zero or negative values. Log series will be zero."
## [1] "DGS10TODTB3 has zero or negative values. Log series will be zero."
## [1] "DCOILWTICO.by.PPIACO has zero or negative values. Log series will be zero."
## [1] "GSPC.DailySwing has zero or negative values. Log series will be zero."

df.data <- lst.df[[1]]
df.symbols <- lst.df[[2]]

Recession calculations

Summary calculations

These values are used below

Conclusion

In this worksheet a model predicting the onset of recession was built. From the model a trading rule was derived to allow backtesting. The model performed well and the trading rule backtesting showed that applying this in the post-WWII period would have resulted in an increase in returns. That is not too bad, but there are a few changes that would likely improve the model:

• Go long on short term bonds, rather than just roll out of the market. That way at least some returns would be generated during recessions.
• Refine the recession indicator.

Market Conditions

#The model is predicting a `r paste(sprintf("%3.0f", tail(df.data$recession.initiation.smooth.avg,1)[[1]]*100), "%", sep="")` chance of recession in the next 12 months. :

#- P/E ratio of `r sprintf("%3.2f", tail(df.data$MULTPLSP500PERATIOMONTH,1))` compares to a historical mean value over the last decade of `r sprintf("%3.2f", df.data$MULTPLSP500PERATIOMONTH_Mean[1])`. Since 2008 recession P/E has only fallen below historical norm a few times. The current value is high, but well off the peaks. If earnings are +2-4% year-over-year then it is not unrealistic.

As of Feb 2020 we have entered a recession as defined by the NBER yet the market continues to rise.

P/E ratio of 25.92 compares to a historical mean value over the last decade of 18.62. Since 2008 recession P/E has only fallen below historical norm a few times. The current value is high, but well off the peaks. If earnings are +2-4% year-over-year then it is not unrealistic.

• S&P 500 Volume, last updated on 2022-04-01, is flat over the last year and negative over the last month.

Unemployment

• Headline unemployment (U-3) stands at 3.60% (last updated on 2022-03-01) which is near the 1-year average of 4.66% and rising with respect to the low in the last twelve months of 3.60%. Unlikely the rate will drop again.

• Payrolls (BLS data, NSA) year-over-year stands at 3.87% which is above the 1-year average of 5.22% and falling with respect to the peak, in the last twelve months, of 10.76%.

• Jobless claims (ICSA data) year-over-year stands at -72.64% (last updated on 2022-03-26) which is in-line with the 1-year average of -70.68% and below the peak, in the last twelve months, of -55.13%.

## Warning: Removed 1 rows containing missing values (geom_text).

## Warning: Removed 1 rows containing missing values (geom_hline).

Personal Income

• Real personal income year over year growth stands at 1.23% (last updated on 2022-02-01). This is below the recent peak of 8.44%.

Yield Curve and Bond Market

• The 10-year to 3-month yield stands at 1.81% (last updated on 2022-03-31). This is above the recent low of 1.14%. The trend is flat over the last year and positive over the last month.

• Auto sales flat?

Auxillary Series

I explored additional data series. The sections below have those data series along with comments.

Recent Highs

Print out the new 180 day high values

df.symbolsTrue <-
  df.symbols[df.symbols$'Max180' == TRUE, c("string.symbol", "string.description")]
df.symbolsTrue <-
  df.symbolsTrue[!(is.na(df.symbolsTrue$string.symbol)), ]
df.symbolsTrue <-
  df.symbolsTrue[!(df.symbolsTrue$string.symbol == 'USREC'), ]
#print(head(df.symbolsTrue,20))

kable(df.symbolsTrue, caption = "6-Month High") %>%
  kable_styling(bootstrap_options = c("striped", "hover"))  

6-Month High

	string.symbol	string.description
1	CPIAUCSL	Consumer Price Index for All Urban Consumers: All Items
4	PCEPI	Personal Consumption Expenditures: Chain-type Price Index
7	NPPTTL	Total Nonfarm Private Payroll Employment (ADP)
10	TABSHNO	Households and nonprofit organizations; total assets, Level
11	HNONWPDPI	Household Net Worth, percent Dispsable Income
12	INDPRO	Industrial Production Index
14	RSALES	Real Retail Sales (DISCONTINUED)
54	HSN1FNSA	New One Family Houses Sold: United States (Monthly, NSA)
55	HNFSUSNSA	New One Family Houses for Sale in the United States (Monthly, NSA)
56	BUSLOANS	Commercial and Industrial Loans, All Commercial Banks (Monthly, SA)
58	BUSLOANSNSA	Commercial and Industrial Loans, All Commercial Banks (Monthly, NSA)
59	REALLNNSA	Real Estate Loans, All Commercial Banks (Monthly, NSA)
60	REALLN	Real Estate Loans, All Commercial Banks (Monthly, SA)
61	RELACBW027NBOG	Real Estate Loans, All Commercial Banks (Weekly, NSA)
62	RELACBW027SBOG	Real Estate Loans, All Commercial Banks (Weekly, SA)
64	RREACBM027SBOG	Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Monthly, SA)
65	RREACBW027SBOG	Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Weekly, SA)
67	MORTGAGE30US	30-Year Fixed Rate Mortgage Average in the United States
69	TOTLLNSA	Loans and Leases in Bank Credit, All Commercial Banks
71	DRCLACBS	Delinquency Rate on Consumer Loans, All Commercial Banks, SA
72	TOTCINSA	Commercial and Industrial Loans, All Commercial Banks (Weekly, NSA)
73	SRPSABSNNCB	Nonfinancial corporate business; security repurchase agreements; asset, Level (NSA)
74	ASTLL	All sectors; total loans; liability, Level (NSA)
75	FBDILNECA	Domestic financial sectors; depository institution loans n.e.c.; asset, Level (NSA)
76	ASOLAL	All sectors; other loans and advances; liability, Level (NSA)
77	ASTMA	All sectors; total mortgages; asset, Level (NSA)
78	ASHMA	All sectors; home mortgages; asset, Level (NSA)
79	ASMRMA	All sectors; multifamily residential mortgages; asset, Level (NSA)
80	ASCMA	All sectors; commercial mortgages; asset, Level (NSA)
81	ASFMA	All sectors; farm mortgages; asset, Level (NSA)
82	CCLBSHNO	Households and nonprofit organizations; consumer credit; liability, Level (NSA)
83	FBDSILQ027S	Domestic financial sectors debt securities; liability, Level (NSA)
84	FBLL	Domestic financial sectors loans; liability, Level (NSA)
85	NCBDBIQ027S	Nonfinancial corporate business; debt securities; liability, Level
92	TB3MS	3-Month Treasury Bill: Secondary Market Rate (Monthly)
109	GDP	Gross Domestic Product
110	FNDEFX	Federal Government: Nondefense Consumption Expenditures and Gross Investment (SA, Annual Rate)
111	FDEFX	Federal Government: National Defense Consumption Expenditures and Gross Investment (SA, Annual Rate)
113	GDPC1	Real Gross Domestic Product
114	GDPDEF	Gross Domestic Product: Implicit Price Deflator
117	FEDFUNDS	Effective Federal Funds Rate
118	GPDI	Gross Private Domestic Investment
119	W790RC1Q027SBEA	Net domestic investment: Private: Domestic busines
120	MZMV	Velocity of MZM Money Stock
121	M1	M1 Money Stock
122	M2	M2 Money Stock
123	OPHNFB	Nonfarm Business Sector: Real Output Per Hour of All Persons
124	IPMAN	Industrial Production: Manufacturing (NAICS)
126	GS5	5-Year Treasury Constant Maturity Rate
131	GFDEBTN	Federal Debt: Total Public Debt
132	HOUST	Housing Starts: Total: New Privately Owned Housing Units Started
133	MSPUS	Median Sales Price of Houses Sold for the United States
136	CSUSHPINSA	S&P/Case-Shiller U.S. National Home Price Index (NSA)
137	GFDEGDQ188S	Federal Debt: Total Public Debt as Percent of Gross Domestic Product
138	FYFSD	Federal Surplus or Deficit
139	FYFSGDA188S	Federal Surplus or Deficit [-] as Percent of Gross Domestic Product
144	OUTMS	Manufacturing Sector: Real Output
145	MANEMP	All Employees: Manufacturing
146	PRS30006163	Manufacturing Sector: Real Output Per Person
148	AAA	Moody’s Seasoned Aaa Corporate Bond Yield
151	SOFR99	Secured Overnight Financing Rate: 99th Percentile
152	SOFR75	Secured Overnight Financing Rate: 75th Percentile
155	OBFR	Overnight Bank Funding Rate
156	OBFR99	Overnight Bank Funding Rate: 99th Percentile
157	OBFR75	Overnight Bank Funding Rate: 75th Percentile
161	IOER	Interest Rate on Excess Reserves
163	EXCSRESNW	Excess Reserves of Depository Institutions
164	ECBASSETS	Central Bank Assets for Euro Area (11-19 Countries)
165	EUNNGDP	Gross Domestic Product (Euro/ECU series) for Euro Area (19 Countries)
167	CURRENCY	Currency Component of M1 (Seasonally Adjusted)
168	WCURRNS	Currency Component of M1
170	PRS88003193	Nonfinancial Corporations Sector: Unit Profits
171	PPIACO	Producer Price Index for All Commodities
172	PCUOMFGOMFG	Producer Price Index by Industry: Total Manufacturing Industries
173	POPTHM	Population (U.S.)
174	POPTHM	Population (U.S.)
175	CLF16OV	Civilian Labor Force Level, SA
176	LNU01000000	Civilian Labor Force Level, NSA
179	RSAFS	Advance Retail Sales: Retail and Food Services
183	A065RC1A027NBEA	Personal income (NSA)
184	PI	Personal income (SA)
185	PCE	Personal Consumption Expenditures (SA)
186	A053RC1Q027SBEA	National income: Corporate profits before tax (without IVA and CCAdj)
187	CPROFIT	Corporate Profits with Inventory Valuation Adjustment (IVA) and Capital Consumption Adjustment (CCAdj)
226	MULTPLSP500SALESQUARTER	S&P 500 TTM Sales (Not Inflation Adjusted)
228	MULTPLSP500DIVMONTH	S&P 500 Dividend by Month (Inflation Adjusted)
229	CHRISCMEHG1	Copper Futures, Continuous Contract #1 (HG1) (Front Month)
230	WWDIWLDISAIRGOODMTK1	Air transport, freight
232	PETA103600001M	U.S. Total Gasoline Retail Sales by Refiners, Monthly
233	PETA123600001M	U.S. Regular Gasoline Retail Sales by Refiners, Monthly
234	PETA143B00001M	U.S. Midgrade Gasoline Retail Sales by Refiners, Monthly
235	PETA133B00001M	U.S. Premium Gasoline Bulk Sales (Volume) by Refiners, Monthly
236	TOTALOGNRPUSM	Crude Oil and Natural Gas Rotary Rigs in Operation, Total, Monthly
237	TOTALPANRPUSM	Crude Oil Rotary Rigs in Operation, Monthly
238	TOTALNGNRPUSM	Natural Gas Rotary Rigs in Operation, Monthly
239	BKRTotal	Total Rig Count
240	BKRGas	Gas Rig Count
241	BKROil	Oil Rig Count
242	FARMINCOME	Net Farm Income
243	OPEARNINGSPERSHARE	Operating Earnings per Share
244	AREARNINGSPERSHARE	As-Reported Earnings per Share
245	CASHDIVIDENDSPERSHR	Cash Dividends per Share
246	SALESPERSHR	Sales per Share
247	BOOKVALPERSHR	Book value per Share
248	CAPEXPERSHR	Cap ex per Share
249	PRICE	Price
250	OPEARNINGSTTM	TTM Operating Earnings
251	AREARNINGSTTM	TTM Reported Earnings
252	FINRAMarginDebt	Margin Debt
253	FINRAFreeCreditMargin	Free Credit Balances in Customers’ Securities Margin Accounts
254	OCCEquityVolume	Equity Options Volume
255	OCCNonEquityVolume	Non-Equity Options Volume
259	BUSLOANS.by.GDP	Business Loans Normalized by GDP
262	BUSLOANSNSA.by.GDP	Business Loans Normalized by GDP
264	TOTCINSA.by.GDP	Business Loans (Weekly, NSA) Normalized by GDP
268	A065RC1A027NBEA.by.GDP	Personal Income (NSA) Normalized by GDP
269	PI.by.GDP	Personal Income (SA) Normalized by GDP
270	A053RC1Q027SBEA.by.GDP	National income: Corporate profits before tax (without IVA and CCAdj) Normalized by GDP
271	CPROFIT.by.GDP	National income: Corporate profits before tax (with IVA and CCAdj) Normalized by GDP
274	RREACBM027SBOG.by.GDP	Residental Real Estate Loans (Monthly, SA) divided by GDP
275	RREACBW027SBOG.by.GDP	Residental Real Estate Loans (Weekly, SA) divided by GDP
279	ASHMA.by.GDP	Home Mortgages (Quarterly, NSA) divided by GDP
280	ASHMA.INTEREST	Home Mortgages (Quarterly, NSA) 30-Year Fixed Interest Burdens
284	TOTLNNSA	Total Loans Not Seasonally Adjusted (BUSLOANS+REALLNSA+CONSUMERNSA)
285	TOTLNNSA.by.GDP	Total Loans Not Seasonally Adjusted divided by GDP
289	EXCSRESNW.by.GDP	Excess Reserves of Depository Institutions Divided by GDP
294	SRPSABSNNCB.by.GDP	Nonfinancial corporate business; security repurchase agreements; asset, Level (NSA) Divided by GDP
295	ASTLL.by.GDP	All sectors; total loans; liability, Level (NSA) Divided by GDP
296	ASFMA.by.GDP	All sectors; farm mortgages; asset, Level (NSA) Divided by GDP
297	ASFMA.by.ASTLL	All sectors; total loans Divided by farm mortgages
298	ASFMA.INTEREST	Farm Mortgages (Quarterly, NSA) 30-Year Fixed Interest Burdens
299	ASFMA.INTEREST.by.GDP	Farm Mortgages (Quarterly, NSA) Interest Burden Divided by GDP
300	FARMINCOME.by.GDP	Farm Income (Annual, NSA) Divided by GDP
303	ECBASSETS.by.EUNNGDP	Central Bank Assets for Euro Area (11-19 Countries) Divided by GDP
312	NPPTTLBYPOPTHM	ADP Private Employment / Population
332	MSPUS.times.HOUST	New privately owned units start times median price
333	MSPUS.times.HNFSUSNSA	New privately owned 1-family units for sale times median price
337	CPIAUCSL_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Consumer Price Index for All Urban Consumers: All Items
340	CPIAUCSL_Log	Log of Consumer Price Index for All Urban Consumers: All Items
341	CPIAUCSL_mva200	Consumer Price Index for All Urban Consumers: All Items 200 Day MA
342	CPIAUCSL_mva050	Consumer Price Index for All Urban Consumers: All Items 50 Day MA
343	USREC_YoY	NBER based Recession Indicators Year over Year
344	USREC_YoY4	NBER based Recession Indicators 4 Year over 4 Year
345	USREC_YoY5	NBER based Recession Indicators 5 Year over 5 Year
346	USREC_Smooth	Savitsky-Golay Smoothed (p=3, n=365) NBER based Recession Indicators
347	USREC_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15) NBER based Recession Indicators
348	USREC_SmoothDer	Derivative of Smoothed NBER based Recession Indicators
349	USREC_Log	Log of NBER based Recession Indicators
350	USREC_mva200	NBER based Recession Indicators 200 Day MA
351	USREC_mva050	NBER based Recession Indicators 50 Day MA
357	UNRATE_SmoothDer	Derivative of Smoothed Civilian Unemployment Rate U-3
364	PCEPI_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Personal Consumption Expenditures: Chain-type Price Index
367	PCEPI_Log	Log of Personal Consumption Expenditures: Chain-type Price Index
368	PCEPI_mva200	Personal Consumption Expenditures: Chain-type Price Index 200 Day MA
369	PCEPI_mva050	Personal Consumption Expenditures: Chain-type Price Index 50 Day MA
379	CCNSA_YoY	Continued Claims (Insured Unemployment, NSA) Year over Year
384	CCNSA_SmoothDer	Derivative of Smoothed Continued Claims (Insured Unemployment, NSA)
391	NPPTTL_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Total Nonfarm Private Payroll Employment (ADP)
393	NPPTTL_SmoothDer	Derivative of Smoothed Total Nonfarm Private Payroll Employment (ADP)
394	NPPTTL_Log	Log of Total Nonfarm Private Payroll Employment (ADP)
395	NPPTTL_mva200	Total Nonfarm Private Payroll Employment (ADP) 200 Day MA
396	NPPTTL_mva050	Total Nonfarm Private Payroll Employment (ADP) 50 Day MA
402	U6RATE_SmoothDer	Derivative of Smoothed Total unemployed + margin + part-time U-6
413	PAYNSA_mva200	All Employees: Total Nonfarm Payrolls (NSA) 200 Day MA
421	TABSHNO_Log	Log of Households and nonprofit organizations; total assets, Level
422	TABSHNO_mva200	Households and nonprofit organizations; total assets, Level 200 Day MA
423	TABSHNO_mva050	Households and nonprofit organizations; total assets, Level 50 Day MA
430	HNONWPDPI_Log	Log of Household Net Worth, percent Dispsable Income
431	HNONWPDPI_mva200	Household Net Worth, percent Dispsable Income 200 Day MA
432	HNONWPDPI_mva050	Household Net Worth, percent Dispsable Income 50 Day MA
436	INDPRO_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Industrial Production Index
438	INDPRO_SmoothDer	Derivative of Smoothed Industrial Production Index
439	INDPRO_Log	Log of Industrial Production Index
440	INDPRO_mva200	Industrial Production Index 200 Day MA
441	INDPRO_mva050	Industrial Production Index 50 Day MA
445	RRSFS_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Real Retail and Food Services Sales
447	RRSFS_SmoothDer	Derivative of Smoothed Real Retail and Food Services Sales
449	RRSFS_mva200	Real Retail and Food Services Sales 200 Day MA
451	RSALES_YoY	Real Retail Sales (DISCONTINUED) Year over Year
452	RSALES_YoY4	Real Retail Sales (DISCONTINUED) 4 Year over 4 Year
453	RSALES_YoY5	Real Retail Sales (DISCONTINUED) 5 Year over 5 Year
457	RSALES_Log	Log of Real Retail Sales (DISCONTINUED)
458	RSALES_mva200	Real Retail Sales (DISCONTINUED) 200 Day MA
459	RSALES_mva050	Real Retail Sales (DISCONTINUED) 50 Day MA
474	RPI_SmoothDer	Derivative of Smoothed Real personal income
483	PCOPPUSDM_SmoothDer	Derivative of Smoothed Global price of Copper
485	PCOPPUSDM_mva200	Global price of Copper 200 Day MA
526	NOBL.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
528	NOBL.Volume_SmoothDer	Derivative of Smoothed
530	NOBL.Volume_mva200	200 Day MA
548	SCHD.Open_mva200	200 Day MA
557	SCHD.High_mva200	200 Day MA
566	SCHD.Low_mva200	200 Day MA
575	SCHD.Close_mva200	200 Day MA
580	SCHD.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
582	SCHD.Volume_SmoothDer	Derivative of Smoothed
584	SCHD.Volume_mva200	200 Day MA
593	SCHD.Adjusted_mva200	200 Day MA
636	PFF.Volume_SmoothDer	Derivative of Smoothed
638	PFF.Volume_mva200	200 Day MA
688	HPI.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
690	HPI.Volume_SmoothDer	Derivative of Smoothed
692	HPI.Volume_mva200	200 Day MA
739	GSFTX.Volume_YoY	Year over Year
740	GSFTX.Volume_YoY4	4 Year over 4 Year
741	GSFTX.Volume_YoY5	5 Year over 5 Year
742	GSFTX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
743	GSFTX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
744	GSFTX.Volume_SmoothDer	Derivative of Smoothed
745	GSFTX.Volume_Log	Log of
746	GSFTX.Volume_mva200	200 Day MA
747	GSFTX.Volume_mva050	50 Day MA
755	GSFTX.Adjusted_mva200	200 Day MA
760	LFMIX.Open_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
762	LFMIX.Open_SmoothDer	Derivative of Smoothed
769	LFMIX.High_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
771	LFMIX.High_SmoothDer	Derivative of Smoothed
778	LFMIX.Low_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
780	LFMIX.Low_SmoothDer	Derivative of Smoothed
787	LFMIX.Close_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
789	LFMIX.Close_SmoothDer	Derivative of Smoothed
793	LFMIX.Volume_YoY	Year over Year
794	LFMIX.Volume_YoY4	4 Year over 4 Year
795	LFMIX.Volume_YoY5	5 Year over 5 Year
796	LFMIX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
797	LFMIX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
798	LFMIX.Volume_SmoothDer	Derivative of Smoothed
799	LFMIX.Volume_Log	Log of
800	LFMIX.Volume_mva200	200 Day MA
801	LFMIX.Volume_mva050	50 Day MA
805	LFMIX.Adjusted_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
807	LFMIX.Adjusted_SmoothDer	Derivative of Smoothed
810	LFMIX.Adjusted_mva050	50 Day MA
814	LFMCX.Open_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
816	LFMCX.Open_SmoothDer	Derivative of Smoothed
823	LFMCX.High_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
825	LFMCX.High_SmoothDer	Derivative of Smoothed
832	LFMCX.Low_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
834	LFMCX.Low_SmoothDer	Derivative of Smoothed
841	LFMCX.Close_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
843	LFMCX.Close_SmoothDer	Derivative of Smoothed
847	LFMCX.Volume_YoY	Year over Year
848	LFMCX.Volume_YoY4	4 Year over 4 Year
849	LFMCX.Volume_YoY5	5 Year over 5 Year
850	LFMCX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
851	LFMCX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
852	LFMCX.Volume_SmoothDer	Derivative of Smoothed
853	LFMCX.Volume_Log	Log of
854	LFMCX.Volume_mva200	200 Day MA
855	LFMCX.Volume_mva050	50 Day MA
859	LFMCX.Adjusted_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
861	LFMCX.Adjusted_SmoothDer	Derivative of Smoothed
864	LFMCX.Adjusted_mva050	50 Day MA
868	LFMAX.Open_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
870	LFMAX.Open_SmoothDer	Derivative of Smoothed
877	LFMAX.High_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
879	LFMAX.High_SmoothDer	Derivative of Smoothed
886	LFMAX.Low_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
888	LFMAX.Low_SmoothDer	Derivative of Smoothed
895	LFMAX.Close_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
897	LFMAX.Close_SmoothDer	Derivative of Smoothed
901	LFMAX.Volume_YoY	Year over Year
902	LFMAX.Volume_YoY4	4 Year over 4 Year
903	LFMAX.Volume_YoY5	5 Year over 5 Year
904	LFMAX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
905	LFMAX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
906	LFMAX.Volume_SmoothDer	Derivative of Smoothed
907	LFMAX.Volume_Log	Log of
908	LFMAX.Volume_mva200	200 Day MA
909	LFMAX.Volume_mva050	50 Day MA
913	LFMAX.Adjusted_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
915	LFMAX.Adjusted_SmoothDer	Derivative of Smoothed
918	LFMAX.Adjusted_mva050	50 Day MA
922	LCSIX.Open_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
926	LCSIX.Open_mva200	200 Day MA
931	LCSIX.High_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
935	LCSIX.High_mva200	200 Day MA
940	LCSIX.Low_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
944	LCSIX.Low_mva200	200 Day MA
949	LCSIX.Close_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
953	LCSIX.Close_mva200	200 Day MA
955	LCSIX.Volume_YoY	Year over Year
956	LCSIX.Volume_YoY4	4 Year over 4 Year
957	LCSIX.Volume_YoY5	5 Year over 5 Year
958	LCSIX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
959	LCSIX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
960	LCSIX.Volume_SmoothDer	Derivative of Smoothed
961	LCSIX.Volume_Log	Log of
962	LCSIX.Volume_mva200	200 Day MA
963	LCSIX.Volume_mva050	50 Day MA
967	LCSIX.Adjusted_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
969	LCSIX.Adjusted_SmoothDer	Derivative of Smoothed
971	LCSIX.Adjusted_mva200	200 Day MA
972	LCSIX.Adjusted_mva050	50 Day MA
1012	BSV.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
1014	BSV.Volume_SmoothDer	Derivative of Smoothed
1016	BSV.Volume_mva200	200 Day MA
1063	VBIRX.Volume_YoY	Year over Year
1064	VBIRX.Volume_YoY4	4 Year over 4 Year
1065	VBIRX.Volume_YoY5	5 Year over 5 Year
1066	VBIRX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
1067	VBIRX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
1068	VBIRX.Volume_SmoothDer	Derivative of Smoothed
1069	VBIRX.Volume_Log	Log of
1070	VBIRX.Volume_mva200	200 Day MA
1071	VBIRX.Volume_mva050	50 Day MA
1120	BIV.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
1122	BIV.Volume_SmoothDer	Derivative of Smoothed
1171	VFSUX.Volume_YoY	Year over Year
1172	VFSUX.Volume_YoY4	4 Year over 4 Year
1173	VFSUX.Volume_YoY5	5 Year over 5 Year
1174	VFSUX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
1175	VFSUX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
1176	VFSUX.Volume_SmoothDer	Derivative of Smoothed
1177	VFSUX.Volume_Log	Log of
1178	VFSUX.Volume_mva200	200 Day MA
1179	VFSUX.Volume_mva050	50 Day MA
1225	LTUIX.Volume_YoY	Year over Year
1226	LTUIX.Volume_YoY4	4 Year over 4 Year
1227	LTUIX.Volume_YoY5	5 Year over 5 Year
1228	LTUIX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
1229	LTUIX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
1230	LTUIX.Volume_SmoothDer	Derivative of Smoothed
1231	LTUIX.Volume_Log	Log of
1232	LTUIX.Volume_mva200	200 Day MA
1233	LTUIX.Volume_mva050	50 Day MA
1279	PTTPX.Volume_YoY	Year over Year
1280	PTTPX.Volume_YoY4	4 Year over 4 Year
1281	PTTPX.Volume_YoY5	5 Year over 5 Year
1282	PTTPX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
1283	PTTPX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
1284	PTTPX.Volume_SmoothDer	Derivative of Smoothed
1285	PTTPX.Volume_Log	Log of
1286	PTTPX.Volume_mva200	200 Day MA
1287	PTTPX.Volume_mva050	50 Day MA
1333	NERYX.Volume_YoY	Year over Year
1334	NERYX.Volume_YoY4	4 Year over 4 Year
1335	NERYX.Volume_YoY5	5 Year over 5 Year
1336	NERYX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
1337	NERYX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
1338	NERYX.Volume_SmoothDer	Derivative of Smoothed
1339	NERYX.Volume_Log	Log of
1340	NERYX.Volume_mva200	200 Day MA
1341	NERYX.Volume_mva050	50 Day MA
1387	STIGX.Volume_YoY	Year over Year
1388	STIGX.Volume_YoY4	4 Year over 4 Year
1389	STIGX.Volume_YoY5	5 Year over 5 Year
1390	STIGX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
1391	STIGX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
1392	STIGX.Volume_SmoothDer	Derivative of Smoothed
1393	STIGX.Volume_Log	Log of
1394	STIGX.Volume_mva200	200 Day MA
1395	STIGX.Volume_mva050	50 Day MA
1441	HLGAX.Volume_YoY	Year over Year
1442	HLGAX.Volume_YoY4	4 Year over 4 Year
1443	HLGAX.Volume_YoY5	5 Year over 5 Year
1444	HLGAX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
1445	HLGAX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
1446	HLGAX.Volume_SmoothDer	Derivative of Smoothed
1447	HLGAX.Volume_Log	Log of
1448	HLGAX.Volume_mva200	200 Day MA
1449	HLGAX.Volume_mva050	50 Day MA
1495	FTRGX.Volume_YoY	Year over Year
1496	FTRGX.Volume_YoY4	4 Year over 4 Year
1497	FTRGX.Volume_YoY5	5 Year over 5 Year
1498	FTRGX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
1499	FTRGX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
1500	FTRGX.Volume_SmoothDer	Derivative of Smoothed
1501	FTRGX.Volume_Log	Log of
1502	FTRGX.Volume_mva200	200 Day MA
1503	FTRGX.Volume_mva050	50 Day MA
1549	THIIX.Volume_YoY	Year over Year
1550	THIIX.Volume_YoY4	4 Year over 4 Year
1551	THIIX.Volume_YoY5	5 Year over 5 Year
1552	THIIX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
1553	THIIX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
1554	THIIX.Volume_SmoothDer	Derivative of Smoothed
1555	THIIX.Volume_Log	Log of
1556	THIIX.Volume_mva200	200 Day MA
1557	THIIX.Volume_mva050	50 Day MA
1603	PTTRX.Volume_YoY	Year over Year
1604	PTTRX.Volume_YoY4	4 Year over 4 Year
1605	PTTRX.Volume_YoY5	5 Year over 5 Year
1606	PTTRX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
1607	PTTRX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
1608	PTTRX.Volume_SmoothDer	Derivative of Smoothed
1609	PTTRX.Volume_Log	Log of
1610	PTTRX.Volume_mva200	200 Day MA
1611	PTTRX.Volume_mva050	50 Day MA
1657	BFIGX.Volume_YoY	Year over Year
1658	BFIGX.Volume_YoY4	4 Year over 4 Year
1659	BFIGX.Volume_YoY5	5 Year over 5 Year
1660	BFIGX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
1661	BFIGX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
1662	BFIGX.Volume_SmoothDer	Derivative of Smoothed
1663	BFIGX.Volume_Log	Log of
1664	BFIGX.Volume_mva200	200 Day MA
1665	BFIGX.Volume_mva050	50 Day MA
1718	VTWO.Volume_mva200	200 Day MA
1765	EIFAX.Volume_YoY	Year over Year
1766	EIFAX.Volume_YoY4	4 Year over 4 Year
1767	EIFAX.Volume_YoY5	5 Year over 5 Year
1768	EIFAX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
1769	EIFAX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
1770	EIFAX.Volume_SmoothDer	Derivative of Smoothed
1771	EIFAX.Volume_Log	Log of
1772	EIFAX.Volume_mva200	200 Day MA
1773	EIFAX.Volume_mva050	50 Day MA
1819	ASDAX.Volume_YoY	Year over Year
1820	ASDAX.Volume_YoY4	4 Year over 4 Year
1821	ASDAX.Volume_YoY5	5 Year over 5 Year
1822	ASDAX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
1823	ASDAX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
1824	ASDAX.Volume_SmoothDer	Derivative of Smoothed
1825	ASDAX.Volume_Log	Log of
1826	ASDAX.Volume_mva200	200 Day MA
1827	ASDAX.Volume_mva050	50 Day MA
1873	TRBUX.Volume_YoY	Year over Year
1874	TRBUX.Volume_YoY4	4 Year over 4 Year
1875	TRBUX.Volume_YoY5	5 Year over 5 Year
1876	TRBUX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
1877	TRBUX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
1878	TRBUX.Volume_SmoothDer	Derivative of Smoothed
1879	TRBUX.Volume_Log	Log of
1880	TRBUX.Volume_mva200	200 Day MA
1881	TRBUX.Volume_mva050	50 Day MA
1927	PRVIX.Volume_YoY	Year over Year
1928	PRVIX.Volume_YoY4	4 Year over 4 Year
1929	PRVIX.Volume_YoY5	5 Year over 5 Year
1930	PRVIX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
1931	PRVIX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
1932	PRVIX.Volume_SmoothDer	Derivative of Smoothed
1933	PRVIX.Volume_Log	Log of
1934	PRVIX.Volume_mva200	200 Day MA
1935	PRVIX.Volume_mva050	50 Day MA
1981	PRWCX.Volume_YoY	Year over Year
1982	PRWCX.Volume_YoY4	4 Year over 4 Year
1983	PRWCX.Volume_YoY5	5 Year over 5 Year
1984	PRWCX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
1985	PRWCX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
1986	PRWCX.Volume_SmoothDer	Derivative of Smoothed
1987	PRWCX.Volume_Log	Log of
1988	PRWCX.Volume_mva200	200 Day MA
1989	PRWCX.Volume_mva050	50 Day MA
2035	ADOZX.Volume_YoY	Year over Year
2036	ADOZX.Volume_YoY4	4 Year over 4 Year
2037	ADOZX.Volume_YoY5	5 Year over 5 Year
2038	ADOZX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
2039	ADOZX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
2040	ADOZX.Volume_SmoothDer	Derivative of Smoothed
2041	ADOZX.Volume_Log	Log of
2042	ADOZX.Volume_mva200	200 Day MA
2043	ADOZX.Volume_mva050	50 Day MA
2056	MERFX.Open_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
2058	MERFX.Open_SmoothDer	Derivative of Smoothed
2065	MERFX.High_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
2067	MERFX.High_SmoothDer	Derivative of Smoothed
2074	MERFX.Low_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
2076	MERFX.Low_SmoothDer	Derivative of Smoothed
2083	MERFX.Close_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
2085	MERFX.Close_SmoothDer	Derivative of Smoothed
2089	MERFX.Volume_YoY	Year over Year
2090	MERFX.Volume_YoY4	4 Year over 4 Year
2091	MERFX.Volume_YoY5	5 Year over 5 Year
2092	MERFX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
2093	MERFX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
2094	MERFX.Volume_SmoothDer	Derivative of Smoothed
2095	MERFX.Volume_Log	Log of
2096	MERFX.Volume_mva200	200 Day MA
2097	MERFX.Volume_mva050	50 Day MA
2101	MERFX.Adjusted_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
2102	MERFX.Adjusted_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
2103	MERFX.Adjusted_SmoothDer	Derivative of Smoothed
2104	MERFX.Adjusted_Log	Log of
2106	MERFX.Adjusted_mva050	50 Day MA
2143	CMNIX.Volume_YoY	Year over Year
2144	CMNIX.Volume_YoY4	4 Year over 4 Year
2145	CMNIX.Volume_YoY5	5 Year over 5 Year
2146	CMNIX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
2147	CMNIX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
2148	CMNIX.Volume_SmoothDer	Derivative of Smoothed
2149	CMNIX.Volume_Log	Log of
2150	CMNIX.Volume_mva200	200 Day MA
2151	CMNIX.Volume_mva050	50 Day MA
2197	CIHEX.Volume_YoY	Year over Year
2198	CIHEX.Volume_YoY4	4 Year over 4 Year
2199	CIHEX.Volume_YoY5	5 Year over 5 Year
2200	CIHEX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
2201	CIHEX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
2202	CIHEX.Volume_SmoothDer	Derivative of Smoothed
2203	CIHEX.Volume_Log	Log of
2204	CIHEX.Volume_mva200	200 Day MA
2205	CIHEX.Volume_mva050	50 Day MA
2222	IMPCH_mva200	U.S. Imports of Goods by Customs Basis from China (Monthly, NSA) 200 Day MA
2240	IMPMX_mva200	U.S. Imports of Goods by Customs Basis from Mexico (Monthly, NSA) 200 Day MA
2247	EXPMX_SmoothDer	Derivative of Smoothed U.S. Exports of Goods by F.A.S. Basis to Mexico (Monthly, NSA)
2254	HSN1FNSA_Smooth	Savitsky-Golay Smoothed (p=3, n=365) New One Family Houses Sold: United States (Monthly, NSA)
2256	HSN1FNSA_SmoothDer	Derivative of Smoothed New One Family Houses Sold: United States (Monthly, NSA)
2257	HSN1FNSA_Log	Log of New One Family Houses Sold: United States (Monthly, NSA)
2259	HSN1FNSA_mva050	New One Family Houses Sold: United States (Monthly, NSA) 50 Day MA
2263	HNFSUSNSA_Smooth	Savitsky-Golay Smoothed (p=3, n=365) New One Family Houses for Sale in the United States (Monthly, NSA)
2266	HNFSUSNSA_Log	Log of New One Family Houses for Sale in the United States (Monthly, NSA)
2267	HNFSUSNSA_mva200	New One Family Houses for Sale in the United States (Monthly, NSA) 200 Day MA
2268	HNFSUSNSA_mva050	New One Family Houses for Sale in the United States (Monthly, NSA) 50 Day MA
2269	BUSLOANS_YoY	Commercial and Industrial Loans, All Commercial Banks (Monthly, SA) Year over Year
2274	BUSLOANS_SmoothDer	Derivative of Smoothed Commercial and Industrial Loans, All Commercial Banks (Monthly, SA)
2275	BUSLOANS_Log	Log of Commercial and Industrial Loans, All Commercial Banks (Monthly, SA)
2277	BUSLOANS_mva050	Commercial and Industrial Loans, All Commercial Banks (Monthly, SA) 50 Day MA
2281	TOTCI_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Commercial and Industrial Loans, All Commercial Banks (Weekly, SA)
2283	TOTCI_SmoothDer	Derivative of Smoothed Commercial and Industrial Loans, All Commercial Banks (Weekly, SA)
2286	TOTCI_mva050	Commercial and Industrial Loans, All Commercial Banks (Weekly, SA) 50 Day MA
2292	BUSLOANSNSA_SmoothDer	Derivative of Smoothed Commercial and Industrial Loans, All Commercial Banks (Monthly, NSA)
2293	BUSLOANSNSA_Log	Log of Commercial and Industrial Loans, All Commercial Banks (Monthly, NSA)
2295	BUSLOANSNSA_mva050	Commercial and Industrial Loans, All Commercial Banks (Monthly, NSA) 50 Day MA
2302	REALLNNSA_Log	Log of Real Estate Loans, All Commercial Banks (Monthly, NSA)
2303	REALLNNSA_mva200	Real Estate Loans, All Commercial Banks (Monthly, NSA) 200 Day MA
2304	REALLNNSA_mva050	Real Estate Loans, All Commercial Banks (Monthly, NSA) 50 Day MA
2311	REALLN_Log	Log of Real Estate Loans, All Commercial Banks (Monthly, SA)
2312	REALLN_mva200	Real Estate Loans, All Commercial Banks (Monthly, SA) 200 Day MA
2313	REALLN_mva050	Real Estate Loans, All Commercial Banks (Monthly, SA) 50 Day MA
2317	RELACBW027NBOG_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Real Estate Loans, All Commercial Banks (Weekly, NSA)
2320	RELACBW027NBOG_Log	Log of Real Estate Loans, All Commercial Banks (Weekly, NSA)
2321	RELACBW027NBOG_mva200	Real Estate Loans, All Commercial Banks (Weekly, NSA) 200 Day MA
2322	RELACBW027NBOG_mva050	Real Estate Loans, All Commercial Banks (Weekly, NSA) 50 Day MA
2326	RELACBW027SBOG_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Real Estate Loans, All Commercial Banks (Weekly, SA)
2328	RELACBW027SBOG_SmoothDer	Derivative of Smoothed Real Estate Loans, All Commercial Banks (Weekly, SA)
2329	RELACBW027SBOG_Log	Log of Real Estate Loans, All Commercial Banks (Weekly, SA)
2330	RELACBW027SBOG_mva200	Real Estate Loans, All Commercial Banks (Weekly, SA) 200 Day MA
2331	RELACBW027SBOG_mva050	Real Estate Loans, All Commercial Banks (Weekly, SA) 50 Day MA
2332	RREACBM027NBOG_YoY	Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Monthly, NSA) Year over Year
2339	RREACBM027NBOG_mva200	Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Monthly, NSA) 200 Day MA
2341	RREACBM027SBOG_YoY	Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Monthly, SA) Year over Year
2347	RREACBM027SBOG_Log	Log of Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Monthly, SA)
2348	RREACBM027SBOG_mva200	Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Monthly, SA) 200 Day MA
2349	RREACBM027SBOG_mva050	Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Monthly, SA) 50 Day MA
2353	RREACBW027SBOG_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Weekly, SA)
2355	RREACBW027SBOG_SmoothDer	Derivative of Smoothed Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Weekly, SA)
2356	RREACBW027SBOG_Log	Log of Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Weekly, SA)
2357	RREACBW027SBOG_mva200	Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Weekly, SA) 200 Day MA
2358	RREACBW027SBOG_mva050	Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Weekly, SA) 50 Day MA
2366	RREACBW027NBOG_mva200	Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Weekly, NSA) 200 Day MA
2367	RREACBW027NBOG_mva050	Real Estate Loans: Residential Real Estate Loans, All Commercial Banks (Weekly, NSA) 50 Day MA
2369	MORTGAGE30US_YoY4	30-Year Fixed Rate Mortgage Average in the United States 4 Year over 4 Year
2370	MORTGAGE30US_YoY5	30-Year Fixed Rate Mortgage Average in the United States 5 Year over 5 Year
2371	MORTGAGE30US_Smooth	Savitsky-Golay Smoothed (p=3, n=365) 30-Year Fixed Rate Mortgage Average in the United States
2372	MORTGAGE30US_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15) 30-Year Fixed Rate Mortgage Average in the United States
2373	MORTGAGE30US_SmoothDer	Derivative of Smoothed 30-Year Fixed Rate Mortgage Average in the United States
2374	MORTGAGE30US_Log	Log of 30-Year Fixed Rate Mortgage Average in the United States
2375	MORTGAGE30US_mva200	30-Year Fixed Rate Mortgage Average in the United States 200 Day MA
2376	MORTGAGE30US_mva050	30-Year Fixed Rate Mortgage Average in the United States 50 Day MA
2384	CONSUMERNSA_mva200	Consumer Loans, All Commercial Banks 200 Day MA
2389	TOTLLNSA_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Loans and Leases in Bank Credit, All Commercial Banks
2391	TOTLLNSA_SmoothDer	Derivative of Smoothed Loans and Leases in Bank Credit, All Commercial Banks
2392	TOTLLNSA_Log	Log of Loans and Leases in Bank Credit, All Commercial Banks
2393	TOTLLNSA_mva200	Loans and Leases in Bank Credit, All Commercial Banks 200 Day MA
2394	TOTLLNSA_mva050	Loans and Leases in Bank Credit, All Commercial Banks 50 Day MA
2398	DPSACBW027SBOG_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Deposits, All Commercial Banks
2402	DPSACBW027SBOG_mva200	Deposits, All Commercial Banks 200 Day MA
2403	DPSACBW027SBOG_mva050	Deposits, All Commercial Banks 50 Day MA
2404	DRCLACBS_YoY	Delinquency Rate on Consumer Loans, All Commercial Banks, SA Year over Year
2410	DRCLACBS_Log	Log of Delinquency Rate on Consumer Loans, All Commercial Banks, SA
2411	DRCLACBS_mva200	Delinquency Rate on Consumer Loans, All Commercial Banks, SA 200 Day MA
2412	DRCLACBS_mva050	Delinquency Rate on Consumer Loans, All Commercial Banks, SA 50 Day MA
2413	TOTCINSA_YoY	Commercial and Industrial Loans, All Commercial Banks (Weekly, NSA) Year over Year
2416	TOTCINSA_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Commercial and Industrial Loans, All Commercial Banks (Weekly, NSA)
2418	TOTCINSA_SmoothDer	Derivative of Smoothed Commercial and Industrial Loans, All Commercial Banks (Weekly, NSA)
2419	TOTCINSA_Log	Log of Commercial and Industrial Loans, All Commercial Banks (Weekly, NSA)
2421	TOTCINSA_mva050	Commercial and Industrial Loans, All Commercial Banks (Weekly, NSA) 50 Day MA
2423	SRPSABSNNCB_YoY4	Nonfinancial corporate business; security repurchase agreements; asset, Level (NSA) 4 Year over 4 Year
2424	SRPSABSNNCB_YoY5	Nonfinancial corporate business; security repurchase agreements; asset, Level (NSA) 5 Year over 5 Year
2427	SRPSABSNNCB_SmoothDer	Derivative of Smoothed Nonfinancial corporate business; security repurchase agreements; asset, Level (NSA)
2428	SRPSABSNNCB_Log	Log of Nonfinancial corporate business; security repurchase agreements; asset, Level (NSA)
2429	SRPSABSNNCB_mva200	Nonfinancial corporate business; security repurchase agreements; asset, Level (NSA) 200 Day MA
2430	SRPSABSNNCB_mva050	Nonfinancial corporate business; security repurchase agreements; asset, Level (NSA) 50 Day MA
2437	ASTLL_Log	Log of All sectors; total loans; liability, Level (NSA)
2438	ASTLL_mva200	All sectors; total loans; liability, Level (NSA) 200 Day MA
2439	ASTLL_mva050	All sectors; total loans; liability, Level (NSA) 50 Day MA
2440	FBDILNECA_YoY	Domestic financial sectors; depository institution loans n.e.c.; asset, Level (NSA) Year over Year
2446	FBDILNECA_Log	Log of Domestic financial sectors; depository institution loans n.e.c.; asset, Level (NSA)
2447	FBDILNECA_mva200	Domestic financial sectors; depository institution loans n.e.c.; asset, Level (NSA) 200 Day MA
2448	FBDILNECA_mva050	Domestic financial sectors; depository institution loans n.e.c.; asset, Level (NSA) 50 Day MA
2452	ASOLAL_Smooth	Savitsky-Golay Smoothed (p=3, n=365) All sectors; other loans and advances; liability, Level (NSA)
2455	ASOLAL_Log	Log of All sectors; other loans and advances; liability, Level (NSA)
2456	ASOLAL_mva200	All sectors; other loans and advances; liability, Level (NSA) 200 Day MA
2457	ASOLAL_mva050	All sectors; other loans and advances; liability, Level (NSA) 50 Day MA
2464	ASTMA_Log	Log of All sectors; total mortgages; asset, Level (NSA)
2465	ASTMA_mva200	All sectors; total mortgages; asset, Level (NSA) 200 Day MA
2466	ASTMA_mva050	All sectors; total mortgages; asset, Level (NSA) 50 Day MA
2473	ASHMA_Log	Log of All sectors; home mortgages; asset, Level (NSA)
2474	ASHMA_mva200	All sectors; home mortgages; asset, Level (NSA) 200 Day MA
2475	ASHMA_mva050	All sectors; home mortgages; asset, Level (NSA) 50 Day MA
2482	ASMRMA_Log	Log of All sectors; multifamily residential mortgages; asset, Level (NSA)
2483	ASMRMA_mva200	All sectors; multifamily residential mortgages; asset, Level (NSA) 200 Day MA
2484	ASMRMA_mva050	All sectors; multifamily residential mortgages; asset, Level (NSA) 50 Day MA
2491	ASCMA_Log	Log of All sectors; commercial mortgages; asset, Level (NSA)
2492	ASCMA_mva200	All sectors; commercial mortgages; asset, Level (NSA) 200 Day MA
2493	ASCMA_mva050	All sectors; commercial mortgages; asset, Level (NSA) 50 Day MA
2500	ASFMA_Log	Log of All sectors; farm mortgages; asset, Level (NSA)
2501	ASFMA_mva200	All sectors; farm mortgages; asset, Level (NSA) 200 Day MA
2502	ASFMA_mva050	All sectors; farm mortgages; asset, Level (NSA) 50 Day MA
2509	CCLBSHNO_Log	Log of Households and nonprofit organizations; consumer credit; liability, Level (NSA)
2510	CCLBSHNO_mva200	Households and nonprofit organizations; consumer credit; liability, Level (NSA) 200 Day MA
2511	CCLBSHNO_mva050	Households and nonprofit organizations; consumer credit; liability, Level (NSA) 50 Day MA
2518	FBDSILQ027S_Log	Log of Domestic financial sectors debt securities; liability, Level (NSA)
2519	FBDSILQ027S_mva200	Domestic financial sectors debt securities; liability, Level (NSA) 200 Day MA
2520	FBDSILQ027S_mva050	Domestic financial sectors debt securities; liability, Level (NSA) 50 Day MA
2527	FBLL_Log	Log of Domestic financial sectors loans; liability, Level (NSA)
2528	FBLL_mva200	Domestic financial sectors loans; liability, Level (NSA) 200 Day MA
2529	FBLL_mva050	Domestic financial sectors loans; liability, Level (NSA) 50 Day MA
2533	NCBDBIQ027S_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Nonfinancial corporate business; debt securities; liability, Level
2536	NCBDBIQ027S_Log	Log of Nonfinancial corporate business; debt securities; liability, Level
2542	DGS10_Smooth	Savitsky-Golay Smoothed (p=3, n=365) 10-Year Treasury Constant Maturity Rate
2544	DGS10_SmoothDer	Derivative of Smoothed 10-Year Treasury Constant Maturity Rate
2546	DGS10_mva200	10-Year Treasury Constant Maturity Rate 200 Day MA
2547	DGS10_mva050	10-Year Treasury Constant Maturity Rate 50 Day MA
2551	TNX.Open_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
2553	TNX.Open_SmoothDer	Derivative of Smoothed
2555	TNX.Open_mva200	200 Day MA
2556	TNX.Open_mva050	50 Day MA
2560	TNX.High_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
2562	TNX.High_SmoothDer	Derivative of Smoothed
2564	TNX.High_mva200	200 Day MA
2565	TNX.High_mva050	50 Day MA
2569	TNX.Low_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
2571	TNX.Low_SmoothDer	Derivative of Smoothed
2573	TNX.Low_mva200	200 Day MA
2574	TNX.Low_mva050	50 Day MA
2578	TNX.Close_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
2580	TNX.Close_SmoothDer	Derivative of Smoothed
2582	TNX.Close_mva200	200 Day MA
2583	TNX.Close_mva050	50 Day MA
2584	TNX.Volume_YoY	Year over Year
2585	TNX.Volume_YoY4	4 Year over 4 Year
2586	TNX.Volume_YoY5	5 Year over 5 Year
2587	TNX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
2588	TNX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
2589	TNX.Volume_SmoothDer	Derivative of Smoothed
2590	TNX.Volume_Log	Log of
2591	TNX.Volume_mva200	200 Day MA
2592	TNX.Volume_mva050	50 Day MA
2596	TNX.Adjusted_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
2598	TNX.Adjusted_SmoothDer	Derivative of Smoothed
2600	TNX.Adjusted_mva200	200 Day MA
2601	TNX.Adjusted_mva050	50 Day MA
2605	CLF.Open_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
2607	CLF.Open_SmoothDer	Derivative of Smoothed
2608	CLF.Open_Log	Log of
2609	CLF.Open_mva200	200 Day MA
2610	CLF.Open_mva050	50 Day MA
2614	CLF.High_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
2616	CLF.High_SmoothDer	Derivative of Smoothed
2618	CLF.High_mva200	200 Day MA
2619	CLF.High_mva050	50 Day MA
2623	CLF.Low_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
2625	CLF.Low_SmoothDer	Derivative of Smoothed
2626	CLF.Low_Log	Log of
2627	CLF.Low_mva200	200 Day MA
2628	CLF.Low_mva050	50 Day MA
2632	CLF.Close_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
2634	CLF.Close_SmoothDer	Derivative of Smoothed
2635	CLF.Close_Log	Log of
2636	CLF.Close_mva200	200 Day MA
2637	CLF.Close_mva050	50 Day MA
2643	CLF.Volume_SmoothDer	Derivative of Smoothed
2644	CLF.Volume_Log	Log of
2650	CLF.Adjusted_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
2652	CLF.Adjusted_SmoothDer	Derivative of Smoothed
2653	CLF.Adjusted_Log	Log of
2654	CLF.Adjusted_mva200	200 Day MA
2655	CLF.Adjusted_mva050	50 Day MA
2659	DGS30_Smooth	Savitsky-Golay Smoothed (p=3, n=365) 10-Year Treasury Constant Maturity Rate
2661	DGS30_SmoothDer	Derivative of Smoothed 10-Year Treasury Constant Maturity Rate
2664	DGS30_mva050	10-Year Treasury Constant Maturity Rate 50 Day MA
2668	DGS1_Smooth	Savitsky-Golay Smoothed (p=3, n=365) 1-Year Treasury Constant Maturity Rate
2670	DGS1_SmoothDer	Derivative of Smoothed 1-Year Treasury Constant Maturity Rate
2672	DGS1_mva200	1-Year Treasury Constant Maturity Rate 200 Day MA
2673	DGS1_mva050	1-Year Treasury Constant Maturity Rate 50 Day MA
2677	DGS2_Smooth	Savitsky-Golay Smoothed (p=3, n=365) 2-Year Treasury Constant Maturity Rate
2679	DGS2_SmoothDer	Derivative of Smoothed 2-Year Treasury Constant Maturity Rate
2681	DGS2_mva200	2-Year Treasury Constant Maturity Rate 200 Day MA
2682	DGS2_mva050	2-Year Treasury Constant Maturity Rate 50 Day MA
2683	TB3MS_YoY	3-Month Treasury Bill: Secondary Market Rate (Monthly) Year over Year
2686	TB3MS_Smooth	Savitsky-Golay Smoothed (p=3, n=365) 3-Month Treasury Bill: Secondary Market Rate (Monthly)
2688	TB3MS_SmoothDer	Derivative of Smoothed 3-Month Treasury Bill: Secondary Market Rate (Monthly)
2689	TB3MS_Log	Log of 3-Month Treasury Bill: Secondary Market Rate (Monthly)
2690	TB3MS_mva200	3-Month Treasury Bill: Secondary Market Rate (Monthly) 200 Day MA
2691	TB3MS_mva050	3-Month Treasury Bill: Secondary Market Rate (Monthly) 50 Day MA
2695	DTB3_Smooth	Savitsky-Golay Smoothed (p=3, n=365) 3-Month Treasury Bill: Secondary Market Rate (Daily)
2697	DTB3_SmoothDer	Derivative of Smoothed 3-Month Treasury Bill: Secondary Market Rate (Daily)
2698	DTB3_Log	Log of 3-Month Treasury Bill: Secondary Market Rate (Daily)
2699	DTB3_mva200	3-Month Treasury Bill: Secondary Market Rate (Daily) 200 Day MA
2700	DTB3_mva050	3-Month Treasury Bill: Secondary Market Rate (Daily) 50 Day MA
2704	IRX.Open_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
2706	IRX.Open_SmoothDer	Derivative of Smoothed
2707	IRX.Open_Log	Log of
2709	IRX.Open_mva050	50 Day MA
2713	IRX.High_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
2715	IRX.High_SmoothDer	Derivative of Smoothed
2716	IRX.High_Log	Log of
2718	IRX.High_mva050	50 Day MA
2722	IRX.Low_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
2724	IRX.Low_SmoothDer	Derivative of Smoothed
2725	IRX.Low_Log	Log of
2726	IRX.Low_mva200	200 Day MA
2727	IRX.Low_mva050	50 Day MA
2731	IRX.Close_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
2733	IRX.Close_SmoothDer	Derivative of Smoothed
2734	IRX.Close_Log	Log of
2735	IRX.Close_mva200	200 Day MA
2736	IRX.Close_mva050	50 Day MA
2737	IRX.Volume_YoY	Year over Year
2738	IRX.Volume_YoY4	4 Year over 4 Year
2739	IRX.Volume_YoY5	5 Year over 5 Year
2740	IRX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
2741	IRX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
2742	IRX.Volume_SmoothDer	Derivative of Smoothed
2743	IRX.Volume_Log	Log of
2744	IRX.Volume_mva200	200 Day MA
2745	IRX.Volume_mva050	50 Day MA
2749	IRX.Adjusted_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
2751	IRX.Adjusted_SmoothDer	Derivative of Smoothed
2752	IRX.Adjusted_Log	Log of
2753	IRX.Adjusted_mva200	200 Day MA
2754	IRX.Adjusted_mva050	50 Day MA
2758	DCOILWTICO_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Crude Oil Prices: West Texas Intermediate (WTI) Cushing, Oklahoma
2760	DCOILWTICO_SmoothDer	Derivative of Smoothed Crude Oil Prices: West Texas Intermediate (WTI) Cushing, Oklahoma
2761	DCOILWTICO_Log	Log of Crude Oil Prices: West Texas Intermediate (WTI) Cushing, Oklahoma
2762	DCOILWTICO_mva200	Crude Oil Prices: West Texas Intermediate (WTI) Cushing, Oklahoma 200 Day MA
2763	DCOILWTICO_mva050	Crude Oil Prices: West Texas Intermediate (WTI) Cushing, Oklahoma 50 Day MA
2767	DCOILBRENTEU_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Crude Oil Prices: Brent - Europe
2769	DCOILBRENTEU_SmoothDer	Derivative of Smoothed Crude Oil Prices: Brent - Europe
2771	DCOILBRENTEU_mva200	Crude Oil Prices: Brent - Europe 200 Day MA
2772	DCOILBRENTEU_mva050	Crude Oil Prices: Brent - Europe 50 Day MA
2780	NEWORDER_mva200	Manufacturers’ New Orders: Nondefense Capital Goods Excluding Aircraft 200 Day MA
2787	ALTSALES_SmoothDer	Derivative of Smoothed Light Weight Vehicle Sales: Autos and Light Trucks
2796	ICSA_SmoothDer	Derivative of Smoothed Initial Jobless Claims
2839	GSPC.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
2841	GSPC.Volume_SmoothDer	Derivative of Smoothed
2890	FXAIX.Volume_YoY	Year over Year
2891	FXAIX.Volume_YoY4	4 Year over 4 Year
2892	FXAIX.Volume_YoY5	5 Year over 5 Year
2893	FXAIX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
2894	FXAIX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
2895	FXAIX.Volume_SmoothDer	Derivative of Smoothed
2896	FXAIX.Volume_Log	Log of
2897	FXAIX.Volume_mva200	200 Day MA
2898	FXAIX.Volume_mva050	50 Day MA
2944	FTIHX.Volume_YoY	Year over Year
2945	FTIHX.Volume_YoY4	4 Year over 4 Year
2946	FTIHX.Volume_YoY5	5 Year over 5 Year
2947	FTIHX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
2948	FTIHX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
2949	FTIHX.Volume_SmoothDer	Derivative of Smoothed
2950	FTIHX.Volume_Log	Log of
2951	FTIHX.Volume_mva200	200 Day MA
2952	FTIHX.Volume_mva050	50 Day MA
2998	MDIZX.Volume_YoY	Year over Year
2999	MDIZX.Volume_YoY4	4 Year over 4 Year
3000	MDIZX.Volume_YoY5	5 Year over 5 Year
3001	MDIZX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
3002	MDIZX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
3003	MDIZX.Volume_SmoothDer	Derivative of Smoothed
3004	MDIZX.Volume_Log	Log of
3005	MDIZX.Volume_mva200	200 Day MA
3006	MDIZX.Volume_mva050	50 Day MA
3052	DODIX.Volume_YoY	Year over Year
3053	DODIX.Volume_YoY4	4 Year over 4 Year
3054	DODIX.Volume_YoY5	5 Year over 5 Year
3055	DODIX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
3056	DODIX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
3057	DODIX.Volume_SmoothDer	Derivative of Smoothed
3058	DODIX.Volume_Log	Log of
3059	DODIX.Volume_mva200	200 Day MA
3060	DODIX.Volume_mva050	50 Day MA
3106	RLG.Volume_YoY	Year over Year
3107	RLG.Volume_YoY4	4 Year over 4 Year
3108	RLG.Volume_YoY5	5 Year over 5 Year
3109	RLG.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
3110	RLG.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
3111	RLG.Volume_SmoothDer	Derivative of Smoothed
3112	RLG.Volume_Log	Log of
3113	RLG.Volume_mva200	200 Day MA
3114	RLG.Volume_mva050	50 Day MA
3165	DJI.Volume_SmoothDer	Derivative of Smoothed
3167	DJI.Volume_mva200	200 Day MA
3217	STOXX50E.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
3219	STOXX50E.Volume_SmoothDer	Derivative of Smoothed
3220	STOXX50E.Volume_Log	Log of
3221	STOXX50E.Volume_mva200	200 Day MA
3271	EFA.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
3273	EFA.Volume_SmoothDer	Derivative of Smoothed
3275	EFA.Volume_mva200	200 Day MA
3292	GDP_Log	Log of Gross Domestic Product
3293	GDP_mva200	Gross Domestic Product 200 Day MA
3294	GDP_mva050	Gross Domestic Product 50 Day MA
3300	FNDEFX_SmoothDer	Derivative of Smoothed Federal Government: Nondefense Consumption Expenditures and Gross Investment (SA, Annual Rate)
3301	FNDEFX_Log	Log of Federal Government: Nondefense Consumption Expenditures and Gross Investment (SA, Annual Rate)
3302	FNDEFX_mva200	Federal Government: Nondefense Consumption Expenditures and Gross Investment (SA, Annual Rate) 200 Day MA
3303	FNDEFX_mva050	Federal Government: Nondefense Consumption Expenditures and Gross Investment (SA, Annual Rate) 50 Day MA
3307	FDEFX_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Federal Government: National Defense Consumption Expenditures and Gross Investment (SA, Annual Rate)
3310	FDEFX_Log	Log of Federal Government: National Defense Consumption Expenditures and Gross Investment (SA, Annual Rate)
3319	GDPNOW_Log	Log of Fed Atlanta GDPNow
3328	GDPC1_Log	Log of Real Gross Domestic Product
3329	GDPC1_mva200	Real Gross Domestic Product 200 Day MA
3330	GDPC1_mva050	Real Gross Domestic Product 50 Day MA
3337	GDPDEF_Log	Log of Gross Domestic Product: Implicit Price Deflator
3338	GDPDEF_mva200	Gross Domestic Product: Implicit Price Deflator 200 Day MA
3339	GDPDEF_mva050	Gross Domestic Product: Implicit Price Deflator 50 Day MA
3381	VIG.Volume_SmoothDer	Derivative of Smoothed
3401	WLRRAL_mva200	Liabilities and Capital: Liabilities: Reverse Repurchase Agreements: Wednesday Level (NSA) 200 Day MA
3402	WLRRAL_mva050	Liabilities and Capital: Liabilities: Reverse Repurchase Agreements: Wednesday Level (NSA) 50 Day MA
3403	FEDFUNDS_YoY	Effective Federal Funds Rate Year over Year
3406	FEDFUNDS_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Effective Federal Funds Rate
3408	FEDFUNDS_SmoothDer	Derivative of Smoothed Effective Federal Funds Rate
3409	FEDFUNDS_Log	Log of Effective Federal Funds Rate
3410	FEDFUNDS_mva200	Effective Federal Funds Rate 200 Day MA
3411	FEDFUNDS_mva050	Effective Federal Funds Rate 50 Day MA
3418	GPDI_Log	Log of Gross Private Domestic Investment
3419	GPDI_mva200	Gross Private Domestic Investment 200 Day MA
3420	GPDI_mva050	Gross Private Domestic Investment 50 Day MA
3421	W790RC1Q027SBEA_YoY	Net domestic investment: Private: Domestic busines Year over Year
3427	W790RC1Q027SBEA_Log	Log of Net domestic investment: Private: Domestic busines
3428	W790RC1Q027SBEA_mva200	Net domestic investment: Private: Domestic busines 200 Day MA
3429	W790RC1Q027SBEA_mva050	Net domestic investment: Private: Domestic busines 50 Day MA
3430	MZMV_YoY	Velocity of MZM Money Stock Year over Year
3436	MZMV_Log	Log of Velocity of MZM Money Stock
3437	MZMV_mva200	Velocity of MZM Money Stock 200 Day MA
3438	MZMV_mva050	Velocity of MZM Money Stock 50 Day MA
3444	M1_SmoothDer	Derivative of Smoothed M1 Money Stock
3445	M1_Log	Log of M1 Money Stock
3446	M1_mva200	M1 Money Stock 200 Day MA
3447	M1_mva050	M1 Money Stock 50 Day MA
3453	M2_SmoothDer	Derivative of Smoothed M2 Money Stock
3454	M2_Log	Log of M2 Money Stock
3455	M2_mva200	M2 Money Stock 200 Day MA
3456	M2_mva050	M2 Money Stock 50 Day MA
3463	OPHNFB_Log	Log of Nonfarm Business Sector: Real Output Per Hour of All Persons
3464	OPHNFB_mva200	Nonfarm Business Sector: Real Output Per Hour of All Persons 200 Day MA
3465	OPHNFB_mva050	Nonfarm Business Sector: Real Output Per Hour of All Persons 50 Day MA
3469	IPMAN_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Industrial Production: Manufacturing (NAICS)
3472	IPMAN_Log	Log of Industrial Production: Manufacturing (NAICS)
3473	IPMAN_mva200	Industrial Production: Manufacturing (NAICS) 200 Day MA
3474	IPMAN_mva050	Industrial Production: Manufacturing (NAICS) 50 Day MA
3482	IWD.Open_mva200	200 Day MA
3491	IWD.High_mva200	200 Day MA
3509	IWD.Close_mva200	200 Day MA
3516	IWD.Volume_SmoothDer	Derivative of Smoothed
3521	IWD.Adjusted_YoY4	4 Year over 4 Year
3527	IWD.Adjusted_mva200	200 Day MA
3532	GS5_Smooth	Savitsky-Golay Smoothed (p=3, n=365) 5-Year Treasury Constant Maturity Rate
3534	GS5_SmoothDer	Derivative of Smoothed 5-Year Treasury Constant Maturity Rate
3535	GS5_Log	Log of 5-Year Treasury Constant Maturity Rate
3536	GS5_mva200	5-Year Treasury Constant Maturity Rate 200 Day MA
3537	GS5_mva050	5-Year Treasury Constant Maturity Rate 50 Day MA
3543	PSAVERT_SmoothDer	Derivative of Smoothed Personal Saving Rate
3550	VIXCLS_Smooth	Savitsky-Golay Smoothed (p=3, n=365) CBOE Volatility Index
3552	VIXCLS_SmoothDer	Derivative of Smoothed CBOE Volatility Index
3556	VXX.Open_YoY	Year over Year
3559	VXX.Open_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
3561	VXX.Open_SmoothDer	Derivative of Smoothed
3568	VXX.High_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
3570	VXX.High_SmoothDer	Derivative of Smoothed
3574	VXX.Low_YoY	Year over Year
3577	VXX.Low_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
3579	VXX.Low_SmoothDer	Derivative of Smoothed
3583	VXX.Close_YoY	Year over Year
3586	VXX.Close_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
3588	VXX.Close_SmoothDer	Derivative of Smoothed
3594	VXX.Volume_YoY5	5 Year over 5 Year
3598	VXX.Volume_Log	Log of
3601	VXX.Adjusted_YoY	Year over Year
3604	VXX.Adjusted_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
3606	VXX.Adjusted_SmoothDer	Derivative of Smoothed
3610	HOUST1F_YoY	Privately Owned Housing Starts: 1-Unit Structures Year over Year
3613	HOUST1F_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Privately Owned Housing Starts: 1-Unit Structures
3617	HOUST1F_mva200	Privately Owned Housing Starts: 1-Unit Structures 200 Day MA
3618	HOUST1F_mva050	Privately Owned Housing Starts: 1-Unit Structures 50 Day MA
3625	GFDEBTN_Log	Log of Federal Debt: Total Public Debt
3626	GFDEBTN_mva200	Federal Debt: Total Public Debt 200 Day MA
3627	GFDEBTN_mva050	Federal Debt: Total Public Debt 50 Day MA
3631	HOUST_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Housing Starts: Total: New Privately Owned Housing Units Started
3633	HOUST_SmoothDer	Derivative of Smoothed Housing Starts: Total: New Privately Owned Housing Units Started
3634	HOUST_Log	Log of Housing Starts: Total: New Privately Owned Housing Units Started
3635	HOUST_mva200	Housing Starts: Total: New Privately Owned Housing Units Started 200 Day MA
3636	HOUST_mva050	Housing Starts: Total: New Privately Owned Housing Units Started 50 Day MA
3640	MSPUS_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Median Sales Price of Houses Sold for the United States
3643	MSPUS_Log	Log of Median Sales Price of Houses Sold for the United States
3662	DGORDER_mva200	Manufacturers’ New Orders: Durable Goods (SA) 200 Day MA
3667	CSUSHPINSA_Smooth	Savitsky-Golay Smoothed (p=3, n=365) S&P/Case-Shiller U.S. National Home Price Index (NSA)
3670	CSUSHPINSA_Log	Log of S&P/Case-Shiller U.S. National Home Price Index (NSA)
3671	CSUSHPINSA_mva200	S&P/Case-Shiller U.S. National Home Price Index (NSA) 200 Day MA
3672	CSUSHPINSA_mva050	S&P/Case-Shiller U.S. National Home Price Index (NSA) 50 Day MA
3673	GFDEGDQ188S_YoY	Federal Debt: Total Public Debt as Percent of Gross Domestic Product Year over Year
3678	GFDEGDQ188S_SmoothDer	Derivative of Smoothed Federal Debt: Total Public Debt as Percent of Gross Domestic Product
3679	GFDEGDQ188S_Log	Log of Federal Debt: Total Public Debt as Percent of Gross Domestic Product
3681	GFDEGDQ188S_mva050	Federal Debt: Total Public Debt as Percent of Gross Domestic Product 50 Day MA
3682	FYFSD_YoY	Federal Surplus or Deficit Year over Year
3688	FYFSD_Log	Log of Federal Surplus or Deficit
3689	FYFSD_mva200	Federal Surplus or Deficit 200 Day MA
3690	FYFSD_mva050	Federal Surplus or Deficit 50 Day MA
3691	FYFSGDA188S_YoY	Federal Surplus or Deficit [-] as Percent of Gross Domestic Product Year over Year
3696	FYFSGDA188S_SmoothDer	Derivative of Smoothed Federal Surplus or Deficit [-] as Percent of Gross Domestic Product
3697	FYFSGDA188S_Log	Log of Federal Surplus or Deficit [-] as Percent of Gross Domestic Product
3698	FYFSGDA188S_mva200	Federal Surplus or Deficit [-] as Percent of Gross Domestic Product 200 Day MA
3699	FYFSGDA188S_mva050	Federal Surplus or Deficit [-] as Percent of Gross Domestic Product 50 Day MA
3703	GDX.Open_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
3704	GDX.Open_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
3705	GDX.Open_SmoothDer	Derivative of Smoothed
3708	GDX.Open_mva050	50 Day MA
3712	GDX.High_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
3713	GDX.High_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
3714	GDX.High_SmoothDer	Derivative of Smoothed
3717	GDX.High_mva050	50 Day MA
3721	GDX.Low_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
3722	GDX.Low_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
3723	GDX.Low_SmoothDer	Derivative of Smoothed
3726	GDX.Low_mva050	50 Day MA
3730	GDX.Close_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
3731	GDX.Close_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
3732	GDX.Close_SmoothDer	Derivative of Smoothed
3733	GDX.Close_Log	Log of
3735	GDX.Close_mva050	50 Day MA
3739	GDX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
3741	GDX.Volume_SmoothDer	Derivative of Smoothed
3748	GDX.Adjusted_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
3749	GDX.Adjusted_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
3750	GDX.Adjusted_SmoothDer	Derivative of Smoothed
3751	GDX.Adjusted_Log	Log of
3753	GDX.Adjusted_mva050	50 Day MA
3757	XLE.Open_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
3759	XLE.Open_SmoothDer	Derivative of Smoothed
3761	XLE.Open_mva200	200 Day MA
3762	XLE.Open_mva050	50 Day MA
3766	XLE.High_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
3768	XLE.High_SmoothDer	Derivative of Smoothed
3770	XLE.High_mva200	200 Day MA
3771	XLE.High_mva050	50 Day MA
3773	XLE.Low_YoY4	4 Year over 4 Year
3775	XLE.Low_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
3776	XLE.Low_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
3777	XLE.Low_SmoothDer	Derivative of Smoothed
3779	XLE.Low_mva200	200 Day MA
3780	XLE.Low_mva050	50 Day MA
3784	XLE.Close_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
3786	XLE.Close_SmoothDer	Derivative of Smoothed
3788	XLE.Close_mva200	200 Day MA
3789	XLE.Close_mva050	50 Day MA
3793	XLE.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
3795	XLE.Volume_SmoothDer	Derivative of Smoothed
3802	XLE.Adjusted_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
3804	XLE.Adjusted_SmoothDer	Derivative of Smoothed
3806	XLE.Adjusted_mva200	200 Day MA
3807	XLE.Adjusted_mva050	50 Day MA
3811	GSG.Open_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
3813	GSG.Open_SmoothDer	Derivative of Smoothed
3815	GSG.Open_mva200	200 Day MA
3816	GSG.Open_mva050	50 Day MA
3820	GSG.High_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
3822	GSG.High_SmoothDer	Derivative of Smoothed
3824	GSG.High_mva200	200 Day MA
3825	GSG.High_mva050	50 Day MA
3829	GSG.Low_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
3831	GSG.Low_SmoothDer	Derivative of Smoothed
3833	GSG.Low_mva200	200 Day MA
3834	GSG.Low_mva050	50 Day MA
3838	GSG.Close_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
3840	GSG.Close_SmoothDer	Derivative of Smoothed
3842	GSG.Close_mva200	200 Day MA
3843	GSG.Close_mva050	50 Day MA
3847	GSG.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
3849	GSG.Volume_SmoothDer	Derivative of Smoothed
3851	GSG.Volume_mva200	200 Day MA
3856	GSG.Adjusted_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
3858	GSG.Adjusted_SmoothDer	Derivative of Smoothed
3860	GSG.Adjusted_mva200	200 Day MA
3861	GSG.Adjusted_mva050	50 Day MA
3865	WALCL_Smooth	Savitsky-Golay Smoothed (p=3, n=365) All Federal Reserve Banks: Total Assets
3869	WALCL_mva200	All Federal Reserve Banks: Total Assets 200 Day MA
3870	WALCL_mva050	All Federal Reserve Banks: Total Assets 50 Day MA
3877	OUTMS_Log	Log of Manufacturing Sector: Real Output
3878	OUTMS_mva200	Manufacturing Sector: Real Output 200 Day MA
3879	OUTMS_mva050	Manufacturing Sector: Real Output 50 Day MA
3880	MANEMP_YoY	All Employees: Manufacturing Year over Year
3883	MANEMP_Smooth	Savitsky-Golay Smoothed (p=3, n=365) All Employees: Manufacturing
3886	MANEMP_Log	Log of All Employees: Manufacturing
3887	MANEMP_mva200	All Employees: Manufacturing 200 Day MA
3888	MANEMP_mva050	All Employees: Manufacturing 50 Day MA
3894	PRS30006163_SmoothDer	Derivative of Smoothed Manufacturing Sector: Real Output Per Person
3895	PRS30006163_Log	Log of Manufacturing Sector: Real Output Per Person
3901	BAMLC0A3CA_Smooth	Savitsky-Golay Smoothed (p=3, n=365) ICE BofAML US Corporate A Option-Adjusted Spread
3903	BAMLC0A3CA_SmoothDer	Derivative of Smoothed ICE BofAML US Corporate A Option-Adjusted Spread
3905	BAMLC0A3CA_mva200	ICE BofAML US Corporate A Option-Adjusted Spread 200 Day MA
3906	BAMLC0A3CA_mva050	ICE BofAML US Corporate A Option-Adjusted Spread 50 Day MA
3909	AAA_YoY5	Moody’s Seasoned Aaa Corporate Bond Yield 5 Year over 5 Year
3910	AAA_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Moody’s Seasoned Aaa Corporate Bond Yield
3912	AAA_SmoothDer	Derivative of Smoothed Moody’s Seasoned Aaa Corporate Bond Yield
3913	AAA_Log	Log of Moody’s Seasoned Aaa Corporate Bond Yield
3914	AAA_mva200	Moody’s Seasoned Aaa Corporate Bond Yield 200 Day MA
3915	AAA_mva050	Moody’s Seasoned Aaa Corporate Bond Yield 50 Day MA
3919	SOFR_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Secured Overnight Financing Rate
3921	SOFR_SmoothDer	Derivative of Smoothed Secured Overnight Financing Rate
3923	SOFR_mva200	Secured Overnight Financing Rate 200 Day MA
3924	SOFR_mva050	Secured Overnight Financing Rate 50 Day MA
3928	SOFRVOL_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Secured Overnight Financing Volume
3930	SOFRVOL_SmoothDer	Derivative of Smoothed Secured Overnight Financing Volume
3932	SOFRVOL_mva200	Secured Overnight Financing Volume 200 Day MA
3934	SOFR99_YoY	Secured Overnight Financing Rate: 99th Percentile Year over Year
3935	SOFR99_YoY4	Secured Overnight Financing Rate: 99th Percentile 4 Year over 4 Year
3936	SOFR99_YoY5	Secured Overnight Financing Rate: 99th Percentile 5 Year over 5 Year
3937	SOFR99_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Secured Overnight Financing Rate: 99th Percentile
3939	SOFR99_SmoothDer	Derivative of Smoothed Secured Overnight Financing Rate: 99th Percentile
3940	SOFR99_Log	Log of Secured Overnight Financing Rate: 99th Percentile
3941	SOFR99_mva200	Secured Overnight Financing Rate: 99th Percentile 200 Day MA
3942	SOFR99_mva050	Secured Overnight Financing Rate: 99th Percentile 50 Day MA
3944	SOFR75_YoY4	Secured Overnight Financing Rate: 75th Percentile 4 Year over 4 Year
3945	SOFR75_YoY5	Secured Overnight Financing Rate: 75th Percentile 5 Year over 5 Year
3946	SOFR75_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Secured Overnight Financing Rate: 75th Percentile
3948	SOFR75_SmoothDer	Derivative of Smoothed Secured Overnight Financing Rate: 75th Percentile
3949	SOFR75_Log	Log of Secured Overnight Financing Rate: 75th Percentile
3950	SOFR75_mva200	Secured Overnight Financing Rate: 75th Percentile 200 Day MA
3951	SOFR75_mva050	Secured Overnight Financing Rate: 75th Percentile 50 Day MA
3955	SOFR25_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Secured Overnight Financing Rate: 25th Percentile
3957	SOFR25_SmoothDer	Derivative of Smoothed Secured Overnight Financing Rate: 25th Percentile
3958	SOFR25_Log	Log of Secured Overnight Financing Rate: 25th Percentile
3959	SOFR25_mva200	Secured Overnight Financing Rate: 25th Percentile 200 Day MA
3960	SOFR25_mva050	Secured Overnight Financing Rate: 25th Percentile 50 Day MA
3961	SOFR1_YoY	Secured Overnight Financing Rate: 1st Percentile Year over Year
3964	SOFR1_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Secured Overnight Financing Rate: 1st Percentile
3966	SOFR1_SmoothDer	Derivative of Smoothed Secured Overnight Financing Rate: 1st Percentile
3967	SOFR1_Log	Log of Secured Overnight Financing Rate: 1st Percentile
3968	SOFR1_mva200	Secured Overnight Financing Rate: 1st Percentile 200 Day MA
3969	SOFR1_mva050	Secured Overnight Financing Rate: 1st Percentile 50 Day MA
3973	OBFR_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Overnight Bank Funding Rate
3975	OBFR_SmoothDer	Derivative of Smoothed Overnight Bank Funding Rate
3976	OBFR_Log	Log of Overnight Bank Funding Rate
3977	OBFR_mva200	Overnight Bank Funding Rate 200 Day MA
3978	OBFR_mva050	Overnight Bank Funding Rate 50 Day MA
3979	OBFR99_YoY	Overnight Bank Funding Rate: 99th Percentile Year over Year
3981	OBFR99_YoY5	Overnight Bank Funding Rate: 99th Percentile 5 Year over 5 Year
3982	OBFR99_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Overnight Bank Funding Rate: 99th Percentile
3983	OBFR99_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15) Overnight Bank Funding Rate: 99th Percentile
3984	OBFR99_SmoothDer	Derivative of Smoothed Overnight Bank Funding Rate: 99th Percentile
3985	OBFR99_Log	Log of Overnight Bank Funding Rate: 99th Percentile
3986	OBFR99_mva200	Overnight Bank Funding Rate: 99th Percentile 200 Day MA
3987	OBFR99_mva050	Overnight Bank Funding Rate: 99th Percentile 50 Day MA
3991	OBFR75_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Overnight Bank Funding Rate: 75th Percentile
3993	OBFR75_SmoothDer	Derivative of Smoothed Overnight Bank Funding Rate: 75th Percentile
3994	OBFR75_Log	Log of Overnight Bank Funding Rate: 75th Percentile
3995	OBFR75_mva200	Overnight Bank Funding Rate: 75th Percentile 200 Day MA
3996	OBFR75_mva050	Overnight Bank Funding Rate: 75th Percentile 50 Day MA
4000	OBFR25_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Overnight Bank Funding Rate: 25th Percentile
4002	OBFR25_SmoothDer	Derivative of Smoothed Overnight Bank Funding Rate: 25th Percentile
4004	OBFR25_mva200	Overnight Bank Funding Rate: 25th Percentile 200 Day MA
4005	OBFR25_mva050	Overnight Bank Funding Rate: 25th Percentile 50 Day MA
4009	OBFR1_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Overnight Bank Funding Rate: 1st Percentile
4011	OBFR1_SmoothDer	Derivative of Smoothed Overnight Bank Funding Rate: 1st Percentile
4013	OBFR1_mva200	Overnight Bank Funding Rate: 1st Percentile 200 Day MA
4014	OBFR1_mva050	Overnight Bank Funding Rate: 1st Percentile 50 Day MA
4020	RPONTSYD_SmoothDer	Derivative of Smoothed Overnight Repurchase Agreements: Treasury Securities Purchased by the Federal Reserve in the Temporary Open Market Operations
4021	RPONTSYD_Log	Log of Overnight Repurchase Agreements: Treasury Securities Purchased by the Federal Reserve in the Temporary Open Market Operations
4024	IOER_YoY	Interest Rate on Excess Reserves Year over Year
4030	IOER_Log	Log of Interest Rate on Excess Reserves
4031	IOER_mva200	Interest Rate on Excess Reserves 200 Day MA
4032	IOER_mva050	Interest Rate on Excess Reserves 50 Day MA
4042	EXCSRESNW_YoY	Excess Reserves of Depository Institutions Year over Year
4043	EXCSRESNW_YoY4	Excess Reserves of Depository Institutions 4 Year over 4 Year
4048	EXCSRESNW_Log	Log of Excess Reserves of Depository Institutions
4049	EXCSRESNW_mva200	Excess Reserves of Depository Institutions 200 Day MA
4050	EXCSRESNW_mva050	Excess Reserves of Depository Institutions 50 Day MA
4051	ECBASSETS_YoY	Central Bank Assets for Euro Area (11-19 Countries) Year over Year
4057	ECBASSETS_Log	Log of Central Bank Assets for Euro Area (11-19 Countries)
4058	ECBASSETS_mva200	Central Bank Assets for Euro Area (11-19 Countries) 200 Day MA
4059	ECBASSETS_mva050	Central Bank Assets for Euro Area (11-19 Countries) 50 Day MA
4063	EUNNGDP_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Gross Domestic Product (Euro/ECU series) for Euro Area (19 Countries)
4066	EUNNGDP_Log	Log of Gross Domestic Product (Euro/ECU series) for Euro Area (19 Countries)
4067	EUNNGDP_mva200	Gross Domestic Product (Euro/ECU series) for Euro Area (19 Countries) 200 Day MA
4068	EUNNGDP_mva050	Gross Domestic Product (Euro/ECU series) for Euro Area (19 Countries) 50 Day MA
4083	CURRENCY_SmoothDer	Derivative of Smoothed Currency Component of M1 (Seasonally Adjusted)
4084	CURRENCY_Log	Log of Currency Component of M1 (Seasonally Adjusted)
4085	CURRENCY_mva200	Currency Component of M1 (Seasonally Adjusted) 200 Day MA
4086	CURRENCY_mva050	Currency Component of M1 (Seasonally Adjusted) 50 Day MA
4090	WCURRNS_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Currency Component of M1
4093	WCURRNS_Log	Log of Currency Component of M1
4094	WCURRNS_mva200	Currency Component of M1 200 Day MA
4095	WCURRNS_mva050	Currency Component of M1 50 Day MA
4108	PRS88003193_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Nonfinancial Corporations Sector: Unit Profits
4110	PRS88003193_SmoothDer	Derivative of Smoothed Nonfinancial Corporations Sector: Unit Profits
4111	PRS88003193_Log	Log of Nonfinancial Corporations Sector: Unit Profits
4112	PRS88003193_mva200	Nonfinancial Corporations Sector: Unit Profits 200 Day MA
4113	PRS88003193_mva050	Nonfinancial Corporations Sector: Unit Profits 50 Day MA
4117	PPIACO_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Producer Price Index for All Commodities
4119	PPIACO_SmoothDer	Derivative of Smoothed Producer Price Index for All Commodities
4120	PPIACO_Log	Log of Producer Price Index for All Commodities
4121	PPIACO_mva200	Producer Price Index for All Commodities 200 Day MA
4122	PPIACO_mva050	Producer Price Index for All Commodities 50 Day MA
4126	PCUOMFGOMFG_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Producer Price Index by Industry: Total Manufacturing Industries
4128	PCUOMFGOMFG_SmoothDer	Derivative of Smoothed Producer Price Index by Industry: Total Manufacturing Industries
4129	PCUOMFGOMFG_Log	Log of Producer Price Index by Industry: Total Manufacturing Industries
4130	PCUOMFGOMFG_mva200	Producer Price Index by Industry: Total Manufacturing Industries 200 Day MA
4131	PCUOMFGOMFG_mva050	Producer Price Index by Industry: Total Manufacturing Industries 50 Day MA
4144	POPTHM_Log	Log of Population (U.S.)
4145	POPTHM_Log	Log of Population (U.S.)
4146	POPTHM_mva200	Population (U.S.) 200 Day MA
4147	POPTHM_mva200	Population (U.S.) 200 Day MA
4148	POPTHM_mva050	Population (U.S.) 50 Day MA
4149	POPTHM_mva050	Population (U.S.) 50 Day MA
4162	POPTHM.1_Log	Log of
4163	POPTHM.1_Log	Log of
4164	POPTHM.1_mva200	200 Day MA
4165	POPTHM.1_mva200	200 Day MA
4166	POPTHM.1_mva050	50 Day MA
4167	POPTHM.1_mva050	50 Day MA
4171	CLF16OV_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Civilian Labor Force Level, SA
4173	CLF16OV_SmoothDer	Derivative of Smoothed Civilian Labor Force Level, SA
4174	CLF16OV_Log	Log of Civilian Labor Force Level, SA
4175	CLF16OV_mva200	Civilian Labor Force Level, SA 200 Day MA
4176	CLF16OV_mva050	Civilian Labor Force Level, SA 50 Day MA
4177	LNU01000000_YoY	Civilian Labor Force Level, NSA Year over Year
4180	LNU01000000_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Civilian Labor Force Level, NSA
4182	LNU01000000_SmoothDer	Derivative of Smoothed Civilian Labor Force Level, NSA
4183	LNU01000000_Log	Log of Civilian Labor Force Level, NSA
4184	LNU01000000_mva200	Civilian Labor Force Level, NSA 200 Day MA
4185	LNU01000000_mva050	Civilian Labor Force Level, NSA 50 Day MA
4186	LNU03000000_YoY	Unemployment Level (NSA) Year over Year
4191	LNU03000000_SmoothDer	Derivative of Smoothed Unemployment Level (NSA)
4200	UNEMPLOY_SmoothDer	Derivative of Smoothed Unemployment Level, seasonally adjusted
4207	RSAFS_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Advance Retail Sales: Retail and Food Services
4209	RSAFS_SmoothDer	Derivative of Smoothed Advance Retail Sales: Retail and Food Services
4210	RSAFS_Log	Log of Advance Retail Sales: Retail and Food Services
4211	RSAFS_mva200	Advance Retail Sales: Retail and Food Services 200 Day MA
4212	RSAFS_mva050	Advance Retail Sales: Retail and Food Services 50 Day MA
4218	FRGSHPUSM649NCIS_SmoothDer	Derivative of Smoothed Cass Freight Index: Shipments
4223	BOPGTB_YoY4	Trade Balance: Goods, Balance of Payments Basis (SA) 4 Year over 4 Year
4228	BOPGTB_Log	Log of Trade Balance: Goods, Balance of Payments Basis (SA)
4236	TERMCBPER24NS_SmoothDer	Derivative of Smoothed Finance Rate on Personal Loans at Commercial Banks, 24 Month Loan
4245	A065RC1A027NBEA_SmoothDer	Derivative of Smoothed Personal income (NSA)
4246	A065RC1A027NBEA_Log	Log of Personal income (NSA)
4247	A065RC1A027NBEA_mva200	Personal income (NSA) 200 Day MA
4248	A065RC1A027NBEA_mva050	Personal income (NSA) 50 Day MA
4252	PI_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Personal income (SA)
4254	PI_SmoothDer	Derivative of Smoothed Personal income (SA)
4255	PI_Log	Log of Personal income (SA)
4256	PI_mva200	Personal income (SA) 200 Day MA
4257	PI_mva050	Personal income (SA) 50 Day MA
4261	PCE_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Personal Consumption Expenditures (SA)
4263	PCE_SmoothDer	Derivative of Smoothed Personal Consumption Expenditures (SA)
4264	PCE_Log	Log of Personal Consumption Expenditures (SA)
4265	PCE_mva200	Personal Consumption Expenditures (SA) 200 Day MA
4266	PCE_mva050	Personal Consumption Expenditures (SA) 50 Day MA
4270	A053RC1Q027SBEA_Smooth	Savitsky-Golay Smoothed (p=3, n=365) National income: Corporate profits before tax (without IVA and CCAdj)
4272	A053RC1Q027SBEA_SmoothDer	Derivative of Smoothed National income: Corporate profits before tax (without IVA and CCAdj)
4273	A053RC1Q027SBEA_Log	Log of National income: Corporate profits before tax (without IVA and CCAdj)
4279	CPROFIT_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Corporate Profits with Inventory Valuation Adjustment (IVA) and Capital Consumption Adjustment (CCAdj)
4282	CPROFIT_Log	Log of Corporate Profits with Inventory Valuation Adjustment (IVA) and Capital Consumption Adjustment (CCAdj)
4283	CPROFIT_mva200	Corporate Profits with Inventory Valuation Adjustment (IVA) and Capital Consumption Adjustment (CCAdj) 200 Day MA
4284	CPROFIT_mva050	Corporate Profits with Inventory Valuation Adjustment (IVA) and Capital Consumption Adjustment (CCAdj) 50 Day MA
4324	SPY.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
4326	SPY.Volume_SmoothDer	Derivative of Smoothed
4328	SPY.Volume_mva200	200 Day MA
4380	MDY.Volume_SmoothDer	Derivative of Smoothed
4382	MDY.Volume_mva200	200 Day MA
4434	EES.Volume_SmoothDer	Derivative of Smoothed
4435	EES.Volume_Log	Log of
4436	EES.Volume_mva200	200 Day MA
4443	EES.Adjusted_SmoothDer	Derivative of Smoothed
4452	IJR.Open_SmoothDer	Derivative of Smoothed
4461	IJR.High_SmoothDer	Derivative of Smoothed
4470	IJR.Low_SmoothDer	Derivative of Smoothed
4479	IJR.Close_SmoothDer	Derivative of Smoothed
4488	IJR.Volume_SmoothDer	Derivative of Smoothed
4490	IJR.Volume_mva200	200 Day MA
4497	IJR.Adjusted_SmoothDer	Derivative of Smoothed
4537	VGSTX.Volume_YoY	Year over Year
4538	VGSTX.Volume_YoY4	4 Year over 4 Year
4539	VGSTX.Volume_YoY5	5 Year over 5 Year
4540	VGSTX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
4541	VGSTX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
4542	VGSTX.Volume_SmoothDer	Derivative of Smoothed
4543	VGSTX.Volume_Log	Log of
4544	VGSTX.Volume_mva200	200 Day MA
4545	VGSTX.Volume_mva050	50 Day MA
4591	VFINX.Volume_YoY	Year over Year
4592	VFINX.Volume_YoY4	4 Year over 4 Year
4593	VFINX.Volume_YoY5	5 Year over 5 Year
4594	VFINX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
4595	VFINX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
4596	VFINX.Volume_SmoothDer	Derivative of Smoothed
4597	VFINX.Volume_Log	Log of
4598	VFINX.Volume_mva200	200 Day MA
4599	VFINX.Volume_mva050	50 Day MA
4616	VOE.Open_mva200	200 Day MA
4623	VOE.High_SmoothDer	Derivative of Smoothed
4625	VOE.High_mva200	200 Day MA
4634	VOE.Low_mva200	200 Day MA
4641	VOE.Close_SmoothDer	Derivative of Smoothed
4643	VOE.Close_mva200	200 Day MA
4648	VOE.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
4650	VOE.Volume_SmoothDer	Derivative of Smoothed
4652	VOE.Volume_mva200	200 Day MA
4659	VOE.Adjusted_SmoothDer	Derivative of Smoothed
4661	VOE.Adjusted_mva200	200 Day MA
4704	VOT.Volume_SmoothDer	Derivative of Smoothed
4706	VOT.Volume_mva200	200 Day MA
4753	TMFGX.Volume_YoY	Year over Year
4754	TMFGX.Volume_YoY4	4 Year over 4 Year
4755	TMFGX.Volume_YoY5	5 Year over 5 Year
4756	TMFGX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
4757	TMFGX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
4758	TMFGX.Volume_SmoothDer	Derivative of Smoothed
4759	TMFGX.Volume_Log	Log of
4760	TMFGX.Volume_mva200	200 Day MA
4761	TMFGX.Volume_mva050	50 Day MA
4866	ONEQ.Volume_SmoothDer	Derivative of Smoothed
4915	FSMAX.Volume_YoY	Year over Year
4916	FSMAX.Volume_YoY4	4 Year over 4 Year
4917	FSMAX.Volume_YoY5	5 Year over 5 Year
4918	FSMAX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
4919	FSMAX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
4920	FSMAX.Volume_SmoothDer	Derivative of Smoothed
4921	FSMAX.Volume_Log	Log of
4922	FSMAX.Volume_mva200	200 Day MA
4923	FSMAX.Volume_mva050	50 Day MA
4969	FXNAX.Volume_YoY	Year over Year
4970	FXNAX.Volume_YoY4	4 Year over 4 Year
4971	FXNAX.Volume_YoY5	5 Year over 5 Year
4972	FXNAX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
4973	FXNAX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
4974	FXNAX.Volume_SmoothDer	Derivative of Smoothed
4975	FXNAX.Volume_Log	Log of
4976	FXNAX.Volume_mva200	200 Day MA
4977	FXNAX.Volume_mva050	50 Day MA
5023	HAINX.Volume_YoY	Year over Year
5024	HAINX.Volume_YoY4	4 Year over 4 Year
5025	HAINX.Volume_YoY5	5 Year over 5 Year
5026	HAINX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5027	HAINX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
5028	HAINX.Volume_SmoothDer	Derivative of Smoothed
5029	HAINX.Volume_Log	Log of
5030	HAINX.Volume_mva200	200 Day MA
5031	HAINX.Volume_mva050	50 Day MA
5077	HNACX.Volume_YoY	Year over Year
5078	HNACX.Volume_YoY4	4 Year over 4 Year
5079	HNACX.Volume_YoY5	5 Year over 5 Year
5080	HNACX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5081	HNACX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
5082	HNACX.Volume_SmoothDer	Derivative of Smoothed
5083	HNACX.Volume_Log	Log of
5084	HNACX.Volume_mva200	200 Day MA
5085	HNACX.Volume_mva050	50 Day MA
5134	VEU.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5136	VEU.Volume_SmoothDer	Derivative of Smoothed
5138	VEU.Volume_mva200	200 Day MA
5185	VEIRX.Volume_YoY	Year over Year
5186	VEIRX.Volume_YoY4	4 Year over 4 Year
5187	VEIRX.Volume_YoY5	5 Year over 5 Year
5188	VEIRX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5189	VEIRX.Volume_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
5190	VEIRX.Volume_SmoothDer	Derivative of Smoothed
5191	VEIRX.Volume_Log	Log of
5192	VEIRX.Volume_mva200	200 Day MA
5193	VEIRX.Volume_mva050	50 Day MA
5197	VEIRX.Adjusted_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5199	VEIRX.Adjusted_SmoothDer	Derivative of Smoothed
5201	VEIRX.Adjusted_mva200	200 Day MA
5208	BIL.Open_SmoothDer	Derivative of Smoothed
5217	BIL.High_SmoothDer	Derivative of Smoothed
5226	BIL.Low_SmoothDer	Derivative of Smoothed
5235	BIL.Close_SmoothDer	Derivative of Smoothed
5242	BIL.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5244	BIL.Volume_SmoothDer	Derivative of Smoothed
5252	BIL.Adjusted_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
5253	BIL.Adjusted_SmoothDer	Derivative of Smoothed
5254	BIL.Adjusted_Log	Log of
5298	IVOO.Volume_SmoothDer	Derivative of Smoothed
5299	IVOO.Volume_Log	Log of
5352	VO.Volume_SmoothDer	Derivative of Smoothed
5353	VO.Volume_Log	Log of
5384	CZA.Low_YoY4	4 Year over 4 Year
5393	CZA.Close_YoY4	4 Year over 4 Year
5404	CZA.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5406	CZA.Volume_SmoothDer	Derivative of Smoothed
5407	CZA.Volume_Log	Log of
5411	CZA.Adjusted_YoY4	4 Year over 4 Year
5422	VYM.Open_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5424	VYM.Open_SmoothDer	Derivative of Smoothed
5426	VYM.Open_mva200	200 Day MA
5431	VYM.High_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5433	VYM.High_SmoothDer	Derivative of Smoothed
5435	VYM.High_mva200	200 Day MA
5440	VYM.Low_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5442	VYM.Low_SmoothDer	Derivative of Smoothed
5444	VYM.Low_mva200	200 Day MA
5447	VYM.Close_YoY4	4 Year over 4 Year
5449	VYM.Close_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5451	VYM.Close_SmoothDer	Derivative of Smoothed
5453	VYM.Close_mva200	200 Day MA
5460	VYM.Volume_SmoothDer	Derivative of Smoothed
5462	VYM.Volume_mva200	200 Day MA
5467	VYM.Adjusted_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5469	VYM.Adjusted_SmoothDer	Derivative of Smoothed
5471	VYM.Adjusted_mva200	200 Day MA
5516	ACWI.Volume_mva200	200 Day MA
5532	SLY.Open_SmoothDer	Derivative of Smoothed
5541	SLY.High_SmoothDer	Derivative of Smoothed
5550	SLY.Low_SmoothDer	Derivative of Smoothed
5559	SLY.Close_SmoothDer	Derivative of Smoothed
5568	SLY.Volume_SmoothDer	Derivative of Smoothed
5569	SLY.Volume_Log	Log of
5570	SLY.Volume_mva200	200 Day MA
5577	SLY.Adjusted_SmoothDer	Derivative of Smoothed
5620	QQQ.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5622	QQQ.Volume_SmoothDer	Derivative of Smoothed
5624	QQQ.Volume_mva200	200 Day MA
5674	HYMB.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5676	HYMB.Volume_SmoothDer	Derivative of Smoothed
5677	HYMB.Volume_Log	Log of
5678	HYMB.Volume_mva200	200 Day MA
5692	GOLD.Open_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5693	GOLD.Open_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
5694	GOLD.Open_SmoothDer	Derivative of Smoothed
5695	GOLD.Open_Log	Log of
5697	GOLD.Open_mva050	50 Day MA
5701	GOLD.High_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5702	GOLD.High_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
5703	GOLD.High_SmoothDer	Derivative of Smoothed
5706	GOLD.High_mva050	50 Day MA
5710	GOLD.Low_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5711	GOLD.Low_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
5712	GOLD.Low_SmoothDer	Derivative of Smoothed
5715	GOLD.Low_mva050	50 Day MA
5719	GOLD.Close_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5720	GOLD.Close_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
5721	GOLD.Close_SmoothDer	Derivative of Smoothed
5724	GOLD.Close_mva050	50 Day MA
5728	GOLD.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5730	GOLD.Volume_SmoothDer	Derivative of Smoothed
5731	GOLD.Volume_Log	Log of
5733	GOLD.Volume_mva050	50 Day MA
5737	GOLD.Adjusted_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5738	GOLD.Adjusted_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
5739	GOLD.Adjusted_SmoothDer	Derivative of Smoothed
5742	GOLD.Adjusted_mva050	50 Day MA
5746	BKR.Open_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5748	BKR.Open_SmoothDer	Derivative of Smoothed
5749	BKR.Open_Log	Log of
5750	BKR.Open_mva200	200 Day MA
5751	BKR.Open_mva050	50 Day MA
5755	BKR.High_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5757	BKR.High_SmoothDer	Derivative of Smoothed
5759	BKR.High_mva200	200 Day MA
5760	BKR.High_mva050	50 Day MA
5764	BKR.Low_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5766	BKR.Low_SmoothDer	Derivative of Smoothed
5768	BKR.Low_mva200	200 Day MA
5769	BKR.Low_mva050	50 Day MA
5773	BKR.Close_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5775	BKR.Close_SmoothDer	Derivative of Smoothed
5777	BKR.Close_mva200	200 Day MA
5778	BKR.Close_mva050	50 Day MA
5782	BKR.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5784	BKR.Volume_SmoothDer	Derivative of Smoothed
5785	BKR.Volume_Log	Log of
5786	BKR.Volume_mva200	200 Day MA
5787	BKR.Volume_mva050	50 Day MA
5791	BKR.Adjusted_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5793	BKR.Adjusted_SmoothDer	Derivative of Smoothed
5795	BKR.Adjusted_mva200	200 Day MA
5796	BKR.Adjusted_mva050	50 Day MA
5800	SLB.Open_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5802	SLB.Open_SmoothDer	Derivative of Smoothed
5804	SLB.Open_mva200	200 Day MA
5805	SLB.Open_mva050	50 Day MA
5809	SLB.High_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5811	SLB.High_SmoothDer	Derivative of Smoothed
5813	SLB.High_mva200	200 Day MA
5814	SLB.High_mva050	50 Day MA
5818	SLB.Low_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5820	SLB.Low_SmoothDer	Derivative of Smoothed
5822	SLB.Low_mva200	200 Day MA
5823	SLB.Low_mva050	50 Day MA
5827	SLB.Close_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5829	SLB.Close_SmoothDer	Derivative of Smoothed
5831	SLB.Close_mva200	200 Day MA
5832	SLB.Close_mva050	50 Day MA
5836	SLB.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5838	SLB.Volume_SmoothDer	Derivative of Smoothed
5840	SLB.Volume_mva200	200 Day MA
5845	SLB.Adjusted_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5847	SLB.Adjusted_SmoothDer	Derivative of Smoothed
5849	SLB.Adjusted_mva200	200 Day MA
5850	SLB.Adjusted_mva050	50 Day MA
5854	HAL.Open_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5855	HAL.Open_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
5856	HAL.Open_SmoothDer	Derivative of Smoothed
5857	HAL.Open_Log	Log of
5858	HAL.Open_mva200	200 Day MA
5859	HAL.Open_mva050	50 Day MA
5861	HAL.High_YoY4	4 Year over 4 Year
5863	HAL.High_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5864	HAL.High_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
5865	HAL.High_SmoothDer	Derivative of Smoothed
5867	HAL.High_mva200	200 Day MA
5868	HAL.High_mva050	50 Day MA
5870	HAL.Low_YoY4	4 Year over 4 Year
5872	HAL.Low_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5873	HAL.Low_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
5874	HAL.Low_SmoothDer	Derivative of Smoothed
5875	HAL.Low_Log	Log of
5876	HAL.Low_mva200	200 Day MA
5877	HAL.Low_mva050	50 Day MA
5879	HAL.Close_YoY4	4 Year over 4 Year
5881	HAL.Close_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5882	HAL.Close_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
5883	HAL.Close_SmoothDer	Derivative of Smoothed
5885	HAL.Close_mva200	200 Day MA
5886	HAL.Close_mva050	50 Day MA
5890	HAL.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5892	HAL.Volume_SmoothDer	Derivative of Smoothed
5893	HAL.Volume_Log	Log of
5894	HAL.Volume_mva200	200 Day MA
5897	HAL.Adjusted_YoY4	4 Year over 4 Year
5899	HAL.Adjusted_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5900	HAL.Adjusted_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
5901	HAL.Adjusted_SmoothDer	Derivative of Smoothed
5903	HAL.Adjusted_mva200	200 Day MA
5904	HAL.Adjusted_mva050	50 Day MA
5911	IP.Open_Log	Log of
5946	IP.Volume_SmoothDer	Derivative of Smoothed
5948	IP.Volume_mva200	200 Day MA
5960	PKG.Open_YoY4	4 Year over 4 Year
5962	PKG.Open_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5963	PKG.Open_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
5964	PKG.Open_SmoothDer	Derivative of Smoothed
5967	PKG.Open_mva050	50 Day MA
5971	PKG.High_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5972	PKG.High_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
5973	PKG.High_SmoothDer	Derivative of Smoothed
5976	PKG.High_mva050	50 Day MA
5980	PKG.Low_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5981	PKG.Low_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
5982	PKG.Low_SmoothDer	Derivative of Smoothed
5985	PKG.Low_mva050	50 Day MA
5987	PKG.Close_YoY4	4 Year over 4 Year
5989	PKG.Close_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
5991	PKG.Close_SmoothDer	Derivative of Smoothed
5994	PKG.Close_mva050	50 Day MA
6005	PKG.Adjusted_YoY4	4 Year over 4 Year
6007	PKG.Adjusted_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
6009	PKG.Adjusted_SmoothDer	Derivative of Smoothed
6012	PKG.Adjusted_mva050	50 Day MA
6016	UPS.Open_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
6020	UPS.Open_mva200	200 Day MA
6025	UPS.High_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
6029	UPS.High_mva200	200 Day MA
6034	UPS.Low_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
6038	UPS.Low_mva200	200 Day MA
6043	UPS.Close_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
6047	UPS.Close_mva200	200 Day MA
6052	UPS.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
6054	UPS.Volume_SmoothDer	Derivative of Smoothed
6061	UPS.Adjusted_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
6065	UPS.Adjusted_mva200	200 Day MA
6081	FDX.High_SmoothDer	Derivative of Smoothed
6099	FDX.Close_SmoothDer	Derivative of Smoothed
6106	FDX.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
6110	FDX.Volume_mva200	200 Day MA
6117	FDX.Adjusted_SmoothDer	Derivative of Smoothed
6126	T.Open_SmoothDer	Derivative of Smoothed
6127	T.Open_Log	Log of
6135	T.High_SmoothDer	Derivative of Smoothed
6144	T.Low_SmoothDer	Derivative of Smoothed
6153	T.Close_SmoothDer	Derivative of Smoothed
6164	T.Volume_mva200	200 Day MA
6171	T.Adjusted_SmoothDer	Derivative of Smoothed
6180	VZ.Open_SmoothDer	Derivative of Smoothed
6189	VZ.High_SmoothDer	Derivative of Smoothed
6198	VZ.Low_SmoothDer	Derivative of Smoothed
6207	VZ.Close_SmoothDer	Derivative of Smoothed
6214	VZ.Volume_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
6216	VZ.Volume_SmoothDer	Derivative of Smoothed
6218	VZ.Volume_mva200	200 Day MA
6219	VZ.Volume_mva050	50 Day MA
6223	VZ.Adjusted_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
6225	VZ.Adjusted_SmoothDer	Derivative of Smoothed
6238	MULTPLSP500PERATIOMONTH_YoY	S&P 500 TTM P/E Year over Year
6253	MULTPLSP500SALESQUARTER_Log	Log of S&P 500 TTM Sales (Not Inflation Adjusted)
6254	MULTPLSP500SALESQUARTER_mva200	S&P 500 TTM Sales (Not Inflation Adjusted) 200 Day MA
6255	MULTPLSP500SALESQUARTER_mva050	S&P 500 TTM Sales (Not Inflation Adjusted) 50 Day MA
6259	MULTPLSP500DIVYIELDMONTH_Smooth	Savitsky-Golay Smoothed (p=3, n=365) S&P 500 Dividend Yield by Month
6261	MULTPLSP500DIVYIELDMONTH_SmoothDer	Derivative of Smoothed S&P 500 Dividend Yield by Month
6265	MULTPLSP500DIVMONTH_YoY	S&P 500 Dividend by Month (Inflation Adjusted) Year over Year
6271	MULTPLSP500DIVMONTH_Log	Log of S&P 500 Dividend by Month (Inflation Adjusted)
6272	MULTPLSP500DIVMONTH_mva200	S&P 500 Dividend by Month (Inflation Adjusted) 200 Day MA
6273	MULTPLSP500DIVMONTH_mva050	S&P 500 Dividend by Month (Inflation Adjusted) 50 Day MA
6277	CHRISCMEHG1_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Copper Futures, Continuous Contract #1 (HG1) (Front Month)
6279	CHRISCMEHG1_SmoothDer	Derivative of Smoothed Copper Futures, Continuous Contract #1 (HG1) (Front Month)
6280	CHRISCMEHG1_Log	Log of Copper Futures, Continuous Contract #1 (HG1) (Front Month)
6282	CHRISCMEHG1_mva050	Copper Futures, Continuous Contract #1 (HG1) (Front Month) 50 Day MA
6283	WWDIWLDISAIRGOODMTK1_YoY	Air transport, freight Year over Year
6289	WWDIWLDISAIRGOODMTK1_Log	Log of Air transport, freight
6290	WWDIWLDISAIRGOODMTK1_mva200	Air transport, freight 200 Day MA
6291	WWDIWLDISAIRGOODMTK1_mva050	Air transport, freight 50 Day MA
6295	LBMAGOLD.USD_AM_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
6297	LBMAGOLD.USD_AM_SmoothDer	Derivative of Smoothed
6299	LBMAGOLD.USD_AM_mva200	200 Day MA
6300	LBMAGOLD.USD_AM_mva050	50 Day MA
6304	LBMAGOLD.USD_PM_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
6306	LBMAGOLD.USD_PM_SmoothDer	Derivative of Smoothed
6308	LBMAGOLD.USD_PM_mva200	200 Day MA
6309	LBMAGOLD.USD_PM_mva050	50 Day MA
6313	LBMAGOLD.GBP_AM_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
6315	LBMAGOLD.GBP_AM_SmoothDer	Derivative of Smoothed
6317	LBMAGOLD.GBP_AM_mva200	200 Day MA
6318	LBMAGOLD.GBP_AM_mva050	50 Day MA
6322	LBMAGOLD.GBP_PM_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
6324	LBMAGOLD.GBP_PM_SmoothDer	Derivative of Smoothed
6326	LBMAGOLD.GBP_PM_mva200	200 Day MA
6327	LBMAGOLD.GBP_PM_mva050	50 Day MA
6331	LBMAGOLD.EURO_AM_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
6333	LBMAGOLD.EURO_AM_SmoothDer	Derivative of Smoothed
6335	LBMAGOLD.EURO_AM_mva200	200 Day MA
6336	LBMAGOLD.EURO_AM_mva050	50 Day MA
6340	LBMAGOLD.EURO_PM_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
6342	LBMAGOLD.EURO_PM_SmoothDer	Derivative of Smoothed
6344	LBMAGOLD.EURO_PM_mva200	200 Day MA
6345	LBMAGOLD.EURO_PM_mva050	50 Day MA
6351	PETA103600001M_SmoothDer	Derivative of Smoothed U.S. Total Gasoline Retail Sales by Refiners, Monthly
6352	PETA103600001M_Log	Log of U.S. Total Gasoline Retail Sales by Refiners, Monthly
6354	PETA103600001M_mva050	U.S. Total Gasoline Retail Sales by Refiners, Monthly 50 Day MA
6360	PETA123600001M_SmoothDer	Derivative of Smoothed U.S. Regular Gasoline Retail Sales by Refiners, Monthly
6361	PETA123600001M_Log	Log of U.S. Regular Gasoline Retail Sales by Refiners, Monthly
6363	PETA123600001M_mva050	U.S. Regular Gasoline Retail Sales by Refiners, Monthly 50 Day MA
6364	PETA143B00001M_YoY	U.S. Midgrade Gasoline Retail Sales by Refiners, Monthly Year over Year
6365	PETA143B00001M_YoY4	U.S. Midgrade Gasoline Retail Sales by Refiners, Monthly 4 Year over 4 Year
6366	PETA143B00001M_YoY5	U.S. Midgrade Gasoline Retail Sales by Refiners, Monthly 5 Year over 5 Year
6370	PETA143B00001M_Log	Log of U.S. Midgrade Gasoline Retail Sales by Refiners, Monthly
6371	PETA143B00001M_mva200	U.S. Midgrade Gasoline Retail Sales by Refiners, Monthly 200 Day MA
6372	PETA143B00001M_mva050	U.S. Midgrade Gasoline Retail Sales by Refiners, Monthly 50 Day MA
6378	PETA133B00001M_SmoothDer	Derivative of Smoothed U.S. Premium Gasoline Bulk Sales (Volume) by Refiners, Monthly
6379	PETA133B00001M_Log	Log of U.S. Premium Gasoline Bulk Sales (Volume) by Refiners, Monthly
6380	PETA133B00001M_mva200	U.S. Premium Gasoline Bulk Sales (Volume) by Refiners, Monthly 200 Day MA
6381	PETA133B00001M_mva050	U.S. Premium Gasoline Bulk Sales (Volume) by Refiners, Monthly 50 Day MA
6385	TOTALOGNRPUSM_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Crude Oil and Natural Gas Rotary Rigs in Operation, Total, Monthly
6387	TOTALOGNRPUSM_SmoothDer	Derivative of Smoothed Crude Oil and Natural Gas Rotary Rigs in Operation, Total, Monthly
6388	TOTALOGNRPUSM_Log	Log of Crude Oil and Natural Gas Rotary Rigs in Operation, Total, Monthly
6389	TOTALOGNRPUSM_mva200	Crude Oil and Natural Gas Rotary Rigs in Operation, Total, Monthly 200 Day MA
6390	TOTALOGNRPUSM_mva050	Crude Oil and Natural Gas Rotary Rigs in Operation, Total, Monthly 50 Day MA
6394	TOTALPANRPUSM_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Crude Oil Rotary Rigs in Operation, Monthly
6397	TOTALPANRPUSM_Log	Log of Crude Oil Rotary Rigs in Operation, Monthly
6398	TOTALPANRPUSM_mva200	Crude Oil Rotary Rigs in Operation, Monthly 200 Day MA
6399	TOTALPANRPUSM_mva050	Crude Oil Rotary Rigs in Operation, Monthly 50 Day MA
6403	TOTALNGNRPUSM_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Natural Gas Rotary Rigs in Operation, Monthly
6405	TOTALNGNRPUSM_SmoothDer	Derivative of Smoothed Natural Gas Rotary Rigs in Operation, Monthly
6406	TOTALNGNRPUSM_Log	Log of Natural Gas Rotary Rigs in Operation, Monthly
6407	TOTALNGNRPUSM_mva200	Natural Gas Rotary Rigs in Operation, Monthly 200 Day MA
6408	TOTALNGNRPUSM_mva050	Natural Gas Rotary Rigs in Operation, Monthly 50 Day MA
6412	BKRTotal_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Total Rig Count
6414	BKRTotal_SmoothDer	Derivative of Smoothed Total Rig Count
6415	BKRTotal_Log	Log of Total Rig Count
6416	BKRTotal_mva200	Total Rig Count 200 Day MA
6417	BKRTotal_mva050	Total Rig Count 50 Day MA
6418	BKRGas_YoY	Gas Rig Count Year over Year
6421	BKRGas_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Gas Rig Count
6423	BKRGas_SmoothDer	Derivative of Smoothed Gas Rig Count
6424	BKRGas_Log	Log of Gas Rig Count
6425	BKRGas_mva200	Gas Rig Count 200 Day MA
6426	BKRGas_mva050	Gas Rig Count 50 Day MA
6430	BKROil_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Oil Rig Count
6432	BKROil_SmoothDer	Derivative of Smoothed Oil Rig Count
6433	BKROil_Log	Log of Oil Rig Count
6434	BKROil_mva200	Oil Rig Count 200 Day MA
6435	BKROil_mva050	Oil Rig Count 50 Day MA
6436	FARMINCOME_YoY	Net Farm Income Year over Year
6442	FARMINCOME_Log	Log of Net Farm Income
6443	FARMINCOME_mva200	Net Farm Income 200 Day MA
6444	FARMINCOME_mva050	Net Farm Income 50 Day MA
6450	OPEARNINGSPERSHARE_SmoothDer	Derivative of Smoothed Operating Earnings per Share
6451	OPEARNINGSPERSHARE_Log	Log of Operating Earnings per Share
6452	OPEARNINGSPERSHARE_mva200	Operating Earnings per Share 200 Day MA
6453	OPEARNINGSPERSHARE_mva050	Operating Earnings per Share 50 Day MA
6459	AREARNINGSPERSHARE_SmoothDer	Derivative of Smoothed As-Reported Earnings per Share
6460	AREARNINGSPERSHARE_Log	Log of As-Reported Earnings per Share
6461	AREARNINGSPERSHARE_mva200	As-Reported Earnings per Share 200 Day MA
6462	AREARNINGSPERSHARE_mva050	As-Reported Earnings per Share 50 Day MA
6468	CASHDIVIDENDSPERSHR_SmoothDer	Derivative of Smoothed Cash Dividends per Share
6469	CASHDIVIDENDSPERSHR_Log	Log of Cash Dividends per Share
6470	CASHDIVIDENDSPERSHR_mva200	Cash Dividends per Share 200 Day MA
6471	CASHDIVIDENDSPERSHR_mva050	Cash Dividends per Share 50 Day MA
6477	SALESPERSHR_SmoothDer	Derivative of Smoothed Sales per Share
6478	SALESPERSHR_Log	Log of Sales per Share
6480	SALESPERSHR_mva050	Sales per Share 50 Day MA
6486	BOOKVALPERSHR_SmoothDer	Derivative of Smoothed Book value per Share
6487	BOOKVALPERSHR_Log	Log of Book value per Share
6488	BOOKVALPERSHR_mva200	Book value per Share 200 Day MA
6489	BOOKVALPERSHR_mva050	Book value per Share 50 Day MA
6490	CAPEXPERSHR_YoY	Cap ex per Share Year over Year
6496	CAPEXPERSHR_Log	Log of Cap ex per Share
6498	CAPEXPERSHR_mva050	Cap ex per Share 50 Day MA
6504	PRICE_SmoothDer	Derivative of Smoothed Price
6505	PRICE_Log	Log of Price
6506	PRICE_mva200	Price 200 Day MA
6507	PRICE_mva050	Price 50 Day MA
6513	OPEARNINGSTTM_SmoothDer	Derivative of Smoothed TTM Operating Earnings
6514	OPEARNINGSTTM_Log	Log of TTM Operating Earnings
6515	OPEARNINGSTTM_mva200	TTM Operating Earnings 200 Day MA
6516	OPEARNINGSTTM_mva050	TTM Operating Earnings 50 Day MA
6522	AREARNINGSTTM_SmoothDer	Derivative of Smoothed TTM Reported Earnings
6523	AREARNINGSTTM_Log	Log of TTM Reported Earnings
6524	AREARNINGSTTM_mva200	TTM Reported Earnings 200 Day MA
6525	AREARNINGSTTM_mva050	TTM Reported Earnings 50 Day MA
6532	FINRAMarginDebt_Log	Log of Margin Debt
6536	FINRAFreeCreditMargin_YoY4	Free Credit Balances in Customers’ Securities Margin Accounts 4 Year over 4 Year
6538	FINRAFreeCreditMargin_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Free Credit Balances in Customers’ Securities Margin Accounts
6540	FINRAFreeCreditMargin_SmoothDer	Derivative of Smoothed Free Credit Balances in Customers’ Securities Margin Accounts
6541	FINRAFreeCreditMargin_Log	Log of Free Credit Balances in Customers’ Securities Margin Accounts
6543	FINRAFreeCreditMargin_mva050	Free Credit Balances in Customers’ Securities Margin Accounts 50 Day MA
6544	OCCEquityVolume_YoY	Equity Options Volume Year over Year
6550	OCCEquityVolume_Log	Log of Equity Options Volume
6551	OCCEquityVolume_mva200	Equity Options Volume 200 Day MA
6552	OCCEquityVolume_mva050	Equity Options Volume 50 Day MA
6553	OCCNonEquityVolume_YoY	Non-Equity Options Volume Year over Year
6559	OCCNonEquityVolume_Log	Log of Non-Equity Options Volume
6560	OCCNonEquityVolume_mva200	Non-Equity Options Volume 200 Day MA
6561	OCCNonEquityVolume_mva050	Non-Equity Options Volume 50 Day MA
6565	RSALESAGG_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Real Retail and Food Services Sales (RRSFS and RSALES)
6567	RSALESAGG_SmoothDer	Derivative of Smoothed Real Retail and Food Services Sales (RRSFS and RSALES)
6569	RSALESAGG_mva200	Real Retail and Food Services Sales (RRSFS and RSALES) 200 Day MA
6577	BUSLOANS.minus.BUSLOANSNSA_Log	Log of Business Loans (Montlhy) SA - NSA
6586	BUSLOANS.minus.BUSLOANSNSA.by.GDP_Log	Log of Business Loans (Montlhy) SA - NSA divided by GDP
6589	BUSLOANS.by.GDP_YoY	Business Loans Normalized by GDP Year over Year
6591	BUSLOANS.by.GDP_YoY5	Business Loans Normalized by GDP 5 Year over 5 Year
6592	BUSLOANS.by.GDP_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Business Loans Normalized by GDP
6594	BUSLOANS.by.GDP_SmoothDer	Derivative of Smoothed Business Loans Normalized by GDP
6595	BUSLOANS.by.GDP_Log	Log of Business Loans Normalized by GDP
6597	BUSLOANS.by.GDP_mva050	Business Loans Normalized by GDP 50 Day MA
6601	BUSLOANS.INTEREST_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Business Loans (Monthly, SA) Adjusted Interest Burdens
6603	BUSLOANS.INTEREST_SmoothDer	Derivative of Smoothed Business Loans (Monthly, SA) Adjusted Interest Burdens
6605	BUSLOANS.INTEREST_mva200	Business Loans (Monthly, SA) Adjusted Interest Burdens 200 Day MA
6606	BUSLOANS.INTEREST_mva050	Business Loans (Monthly, SA) Adjusted Interest Burdens 50 Day MA
6610	BUSLOANS.INTEREST.by.GDP_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Business Loans (Monthly, SA) Adjusted Interest Burden Divided by GDP
6612	BUSLOANS.INTEREST.by.GDP_SmoothDer	Derivative of Smoothed Business Loans (Monthly, SA) Adjusted Interest Burden Divided by GDP
6614	BUSLOANS.INTEREST.by.GDP_mva200	Business Loans (Monthly, SA) Adjusted Interest Burden Divided by GDP 200 Day MA
6615	BUSLOANS.INTEREST.by.GDP_mva050	Business Loans (Monthly, SA) Adjusted Interest Burden Divided by GDP 50 Day MA
6616	BUSLOANSNSA.by.GDP_YoY	Business Loans Normalized by GDP Year over Year
6619	BUSLOANSNSA.by.GDP_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Business Loans Normalized by GDP
6621	BUSLOANSNSA.by.GDP_SmoothDer	Derivative of Smoothed Business Loans Normalized by GDP
6622	BUSLOANSNSA.by.GDP_Log	Log of Business Loans Normalized by GDP
6624	BUSLOANSNSA.by.GDP_mva050	Business Loans Normalized by GDP 50 Day MA
6625	TOTCI.by.GDP_YoY	Business Loans (Weekly, SA) Normalized by GDP Year over Year
6628	TOTCI.by.GDP_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Business Loans (Weekly, SA) Normalized by GDP
6630	TOTCI.by.GDP_SmoothDer	Derivative of Smoothed Business Loans (Weekly, SA) Normalized by GDP
6633	TOTCI.by.GDP_mva050	Business Loans (Weekly, SA) Normalized by GDP 50 Day MA
6634	TOTCINSA.by.GDP_YoY	Business Loans (Weekly, NSA) Normalized by GDP Year over Year
6637	TOTCINSA.by.GDP_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Business Loans (Weekly, NSA) Normalized by GDP
6639	TOTCINSA.by.GDP_SmoothDer	Derivative of Smoothed Business Loans (Weekly, NSA) Normalized by GDP
6640	TOTCINSA.by.GDP_Log	Log of Business Loans (Weekly, NSA) Normalized by GDP
6642	TOTCINSA.by.GDP_mva050	Business Loans (Weekly, NSA) Normalized by GDP 50 Day MA
6646	TOTCINSA.INTEREST_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Business Loans (Weekly, NSA) Adjusted Interest Burdens
6648	TOTCINSA.INTEREST_SmoothDer	Derivative of Smoothed Business Loans (Weekly, NSA) Adjusted Interest Burdens
6650	TOTCINSA.INTEREST_mva200	Business Loans (Weekly, NSA) Adjusted Interest Burdens 200 Day MA
6651	TOTCINSA.INTEREST_mva050	Business Loans (Weekly, NSA) Adjusted Interest Burdens 50 Day MA
6655	TOTCINSA.INTEREST.by.GDP_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Business Loans (weekly, NSA) Adjusted Interest Burden Divided by GDP
6657	TOTCINSA.INTEREST.by.GDP_SmoothDer	Derivative of Smoothed Business Loans (weekly, NSA) Adjusted Interest Burden Divided by GDP
6659	TOTCINSA.INTEREST.by.GDP_mva200	Business Loans (weekly, NSA) Adjusted Interest Burden Divided by GDP 200 Day MA
6660	TOTCINSA.INTEREST.by.GDP_mva050	Business Loans (weekly, NSA) Adjusted Interest Burden Divided by GDP 50 Day MA
6661	W875RX1.by.GDP_YoY	Real Personal Income Normalized by GDP Year over Year
6662	W875RX1.by.GDP_YoY4	Real Personal Income Normalized by GDP 4 Year over 4 Year
6666	W875RX1.by.GDP_SmoothDer	Derivative of Smoothed Real Personal Income Normalized by GDP
6670	A065RC1A027NBEA.by.GDP_YoY	Personal Income (NSA) Normalized by GDP Year over Year
6675	A065RC1A027NBEA.by.GDP_SmoothDer	Derivative of Smoothed Personal Income (NSA) Normalized by GDP
6676	A065RC1A027NBEA.by.GDP_Log	Log of Personal Income (NSA) Normalized by GDP
6682	PI.by.GDP_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Personal Income (SA) Normalized by GDP
6684	PI.by.GDP_SmoothDer	Derivative of Smoothed Personal Income (SA) Normalized by GDP
6685	PI.by.GDP_Log	Log of Personal Income (SA) Normalized by GDP
6687	PI.by.GDP_mva050	Personal Income (SA) Normalized by GDP 50 Day MA
6693	A053RC1Q027SBEA.by.GDP_SmoothDer	Derivative of Smoothed National income: Corporate profits before tax (without IVA and CCAdj) Normalized by GDP
6694	A053RC1Q027SBEA.by.GDP_Log	Log of National income: Corporate profits before tax (without IVA and CCAdj) Normalized by GDP
6700	CPROFIT.by.GDP_Smooth	Savitsky-Golay Smoothed (p=3, n=365) National income: Corporate profits before tax (with IVA and CCAdj) Normalized by GDP
6702	CPROFIT.by.GDP_SmoothDer	Derivative of Smoothed National income: Corporate profits before tax (with IVA and CCAdj) Normalized by GDP
6703	CPROFIT.by.GDP_Log	Log of National income: Corporate profits before tax (with IVA and CCAdj) Normalized by GDP
6706	CONSUMERNSA.by.GDP_YoY	Consumer Loans Not Seasonally Adjusted divided by GDP Year over Year
6709	CONSUMERNSA.by.GDP_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Consumer Loans Not Seasonally Adjusted divided by GDP
6713	CONSUMERNSA.by.GDP_mva200	Consumer Loans Not Seasonally Adjusted divided by GDP 200 Day MA
6715	RREACBM027NBOG.by.GDP_YoY	Residental Real Estate Loans (Monthly, NSA) divided by GDP Year over Year
6716	RREACBM027NBOG.by.GDP_YoY4	Residental Real Estate Loans (Monthly, NSA) divided by GDP 4 Year over 4 Year
6718	RREACBM027NBOG.by.GDP_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Residental Real Estate Loans (Monthly, NSA) divided by GDP
6724	RREACBM027SBOG.by.GDP_YoY	Residental Real Estate Loans (Monthly, SA) divided by GDP Year over Year
6725	RREACBM027SBOG.by.GDP_YoY4	Residental Real Estate Loans (Monthly, SA) divided by GDP 4 Year over 4 Year
6726	RREACBM027SBOG.by.GDP_YoY5	Residental Real Estate Loans (Monthly, SA) divided by GDP 5 Year over 5 Year
6727	RREACBM027SBOG.by.GDP_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Residental Real Estate Loans (Monthly, SA) divided by GDP
6729	RREACBM027SBOG.by.GDP_SmoothDer	Derivative of Smoothed Residental Real Estate Loans (Monthly, SA) divided by GDP
6730	RREACBM027SBOG.by.GDP_Log	Log of Residental Real Estate Loans (Monthly, SA) divided by GDP
6732	RREACBM027SBOG.by.GDP_mva050	Residental Real Estate Loans (Monthly, SA) divided by GDP 50 Day MA
6734	RREACBW027SBOG.by.GDP_YoY4	Residental Real Estate Loans (Weekly, SA) divided by GDP 4 Year over 4 Year
6735	RREACBW027SBOG.by.GDP_YoY5	Residental Real Estate Loans (Weekly, SA) divided by GDP 5 Year over 5 Year
6736	RREACBW027SBOG.by.GDP_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Residental Real Estate Loans (Weekly, SA) divided by GDP
6738	RREACBW027SBOG.by.GDP_SmoothDer	Derivative of Smoothed Residental Real Estate Loans (Weekly, SA) divided by GDP
6739	RREACBW027SBOG.by.GDP_Log	Log of Residental Real Estate Loans (Weekly, SA) divided by GDP
6741	RREACBW027SBOG.by.GDP_mva050	Residental Real Estate Loans (Weekly, SA) divided by GDP 50 Day MA
6745	RREACBW027NBOG.by.GDP_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Residental Real Estate Loans (Weekly, NSA) divided by GDP
6747	RREACBW027NBOG.by.GDP_SmoothDer	Derivative of Smoothed Residental Real Estate Loans (Weekly, NSA) divided by GDP
6750	RREACBW027NBOG.by.GDP_mva050	Residental Real Estate Loans (Weekly, NSA) divided by GDP 50 Day MA
6756	UMDMNO.by.GDP_SmoothDer	Derivative of Smoothed Durable Goods (Monthly, NSA) divided by GDP
6765	DGORDER.by.GDP_SmoothDer	Derivative of Smoothed Durable Goods (Monthly, NSA) divided by GDP
6767	DGORDER.by.GDP_mva200	Durable Goods (Monthly, NSA) divided by GDP 200 Day MA
6769	ASHMA.by.GDP_YoY	Home Mortgages (Quarterly, NSA) divided by GDP Year over Year
6771	ASHMA.by.GDP_YoY5	Home Mortgages (Quarterly, NSA) divided by GDP 5 Year over 5 Year
6774	ASHMA.by.GDP_SmoothDer	Derivative of Smoothed Home Mortgages (Quarterly, NSA) divided by GDP
6775	ASHMA.by.GDP_Log	Log of Home Mortgages (Quarterly, NSA) divided by GDP
6779	ASHMA.INTEREST_YoY4	Home Mortgages (Quarterly, NSA) 30-Year Fixed Interest Burdens 4 Year over 4 Year
6780	ASHMA.INTEREST_YoY5	Home Mortgages (Quarterly, NSA) 30-Year Fixed Interest Burdens 5 Year over 5 Year
6781	ASHMA.INTEREST_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Home Mortgages (Quarterly, NSA) 30-Year Fixed Interest Burdens
6782	ASHMA.INTEREST_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15) Home Mortgages (Quarterly, NSA) 30-Year Fixed Interest Burdens
6783	ASHMA.INTEREST_SmoothDer	Derivative of Smoothed Home Mortgages (Quarterly, NSA) 30-Year Fixed Interest Burdens
6784	ASHMA.INTEREST_Log	Log of Home Mortgages (Quarterly, NSA) 30-Year Fixed Interest Burdens
6785	ASHMA.INTEREST_mva200	Home Mortgages (Quarterly, NSA) 30-Year Fixed Interest Burdens 200 Day MA
6786	ASHMA.INTEREST_mva050	Home Mortgages (Quarterly, NSA) 30-Year Fixed Interest Burdens 50 Day MA
6788	ASHMA.INTEREST.by.GDP_YoY4	4 Year over 4 Year
6789	ASHMA.INTEREST.by.GDP_YoY5	5 Year over 5 Year
6790	ASHMA.INTEREST.by.GDP_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
6791	ASHMA.INTEREST.by.GDP_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15)
6792	ASHMA.INTEREST.by.GDP_SmoothDer	Derivative of Smoothed
6793	ASHMA.INTEREST.by.GDP_Log	Log of
6794	ASHMA.INTEREST.by.GDP_mva200	200 Day MA
6795	ASHMA.INTEREST.by.GDP_mva050	50 Day MA
6799	CONSUMERNSA.INTEREST_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Consumer Loans (Not Seasonally Adjusted) Interest Burdens
6803	CONSUMERNSA.INTEREST_mva200	Consumer Loans (Not Seasonally Adjusted) Interest Burdens 200 Day MA
6805	CONSUMERNSA.INTEREST.by.GDP_YoY	Consumer Loans (Not Seasonally Adjusted) Interest Burden Divided by GDP Year over Year
6808	CONSUMERNSA.INTEREST.by.GDP_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Consumer Loans (Not Seasonally Adjusted) Interest Burden Divided by GDP
6814	TOTLNNSA_YoY	Total Loans Not Seasonally Adjusted (BUSLOANS+REALLNSA+CONSUMERNSA) Year over Year
6820	TOTLNNSA_Log	Log of Total Loans Not Seasonally Adjusted (BUSLOANS+REALLNSA+CONSUMERNSA)
6821	TOTLNNSA_mva200	Total Loans Not Seasonally Adjusted (BUSLOANS+REALLNSA+CONSUMERNSA) 200 Day MA
6822	TOTLNNSA_mva050	Total Loans Not Seasonally Adjusted (BUSLOANS+REALLNSA+CONSUMERNSA) 50 Day MA
6823	TOTLNNSA.by.GDP_YoY	Total Loans Not Seasonally Adjusted divided by GDP Year over Year
6826	TOTLNNSA.by.GDP_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Total Loans Not Seasonally Adjusted divided by GDP
6828	TOTLNNSA.by.GDP_SmoothDer	Derivative of Smoothed Total Loans Not Seasonally Adjusted divided by GDP
6829	TOTLNNSA.by.GDP_Log	Log of Total Loans Not Seasonally Adjusted divided by GDP
6831	TOTLNNSA.by.GDP_mva050	Total Loans Not Seasonally Adjusted divided by GDP 50 Day MA
6835	TOTLNNSA.INTEREST_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Total Loans Not Seasonally Adjusted Interest Burdens
6837	TOTLNNSA.INTEREST_SmoothDer	Derivative of Smoothed Total Loans Not Seasonally Adjusted Interest Burdens
6839	TOTLNNSA.INTEREST_mva200	Total Loans Not Seasonally Adjusted Interest Burdens 200 Day MA
6840	TOTLNNSA.INTEREST_mva050	Total Loans Not Seasonally Adjusted Interest Burdens 50 Day MA
6844	TOTLNNSA.INTEREST.by.GDP_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Total Loans Not Seasonally Adjusted Interest Burden Divided by GDP
6846	TOTLNNSA.INTEREST.by.GDP_SmoothDer	Derivative of Smoothed Total Loans Not Seasonally Adjusted Interest Burden Divided by GDP
6848	TOTLNNSA.INTEREST.by.GDP_mva200	Total Loans Not Seasonally Adjusted Interest Burden Divided by GDP 200 Day MA
6849	TOTLNNSA.INTEREST.by.GDP_mva050	Total Loans Not Seasonally Adjusted Interest Burden Divided by GDP 50 Day MA
6859	EXCSRESNW.by.GDP_YoY	Excess Reserves of Depository Institutions Divided by GDP Year over Year
6860	EXCSRESNW.by.GDP_YoY4	Excess Reserves of Depository Institutions Divided by GDP 4 Year over 4 Year
6864	EXCSRESNW.by.GDP_SmoothDer	Derivative of Smoothed Excess Reserves of Depository Institutions Divided by GDP
6865	EXCSRESNW.by.GDP_Log	Log of Excess Reserves of Depository Institutions Divided by GDP
6875	WLRRAL.by.GDP_mva200	Liabilities and Capital: Liabilities: Reverse Repurchase Agreements: Wednesday Level (NSA) Divided by GDP 200 Day MA
6876	WLRRAL.by.GDP_mva050	Liabilities and Capital: Liabilities: Reverse Repurchase Agreements: Wednesday Level (NSA) Divided by GDP 50 Day MA
6880	SOFR99.minus.SOFR1_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Secured Overnight Financing Rate: 99th Percentile - 1st Percentile
6882	SOFR99.minus.SOFR1_SmoothDer	Derivative of Smoothed Secured Overnight Financing Rate: 99th Percentile - 1st Percentile
6884	SOFR99.minus.SOFR1_mva200	Secured Overnight Financing Rate: 99th Percentile - 1st Percentile 200 Day MA
6885	SOFR99.minus.SOFR1_mva050	Secured Overnight Financing Rate: 99th Percentile - 1st Percentile 50 Day MA
6891	EXPCH.minus.IMPCH_SmoothDer	Derivative of Smoothed U.S. Exports to China (FAS Basis) - U.S. Imports to China (Customs Basis)
6892	EXPCH.minus.IMPCH_Log	Log of U.S. Exports to China (FAS Basis) - U.S. Imports to China (Customs Basis)
6898	EXPMX.minus.IMPMX_Smooth	Savitsky-Golay Smoothed (p=3, n=365)
6900	EXPMX.minus.IMPMX_SmoothDer	Derivative of Smoothed
6901	EXPMX.minus.IMPMX_Log	Log of
6905	SRPSABSNNCB.by.GDP_YoY4	Nonfinancial corporate business; security repurchase agreements; asset, Level (NSA) Divided by GDP 4 Year over 4 Year
6906	SRPSABSNNCB.by.GDP_YoY5	Nonfinancial corporate business; security repurchase agreements; asset, Level (NSA) Divided by GDP 5 Year over 5 Year
6909	SRPSABSNNCB.by.GDP_SmoothDer	Derivative of Smoothed Nonfinancial corporate business; security repurchase agreements; asset, Level (NSA) Divided by GDP
6910	SRPSABSNNCB.by.GDP_Log	Log of Nonfinancial corporate business; security repurchase agreements; asset, Level (NSA) Divided by GDP
6911	SRPSABSNNCB.by.GDP_mva200	Nonfinancial corporate business; security repurchase agreements; asset, Level (NSA) Divided by GDP 200 Day MA
6912	SRPSABSNNCB.by.GDP_mva050	Nonfinancial corporate business; security repurchase agreements; asset, Level (NSA) Divided by GDP 50 Day MA
6913	ASTLL.by.GDP_YoY	All sectors; total loans; liability, Level (NSA) Divided by GDP Year over Year
6918	ASTLL.by.GDP_SmoothDer	Derivative of Smoothed All sectors; total loans; liability, Level (NSA) Divided by GDP
6919	ASTLL.by.GDP_Log	Log of All sectors; total loans; liability, Level (NSA) Divided by GDP
6922	ASFMA.by.GDP_YoY	All sectors; farm mortgages; asset, Level (NSA) Divided by GDP Year over Year
6927	ASFMA.by.GDP_SmoothDer	Derivative of Smoothed All sectors; farm mortgages; asset, Level (NSA) Divided by GDP
6928	ASFMA.by.GDP_Log	Log of All sectors; farm mortgages; asset, Level (NSA) Divided by GDP
6931	ASFMA.by.ASTLL_YoY	All sectors; total loans Divided by farm mortgages Year over Year
6936	ASFMA.by.ASTLL_SmoothDer	Derivative of Smoothed All sectors; total loans Divided by farm mortgages
6937	ASFMA.by.ASTLL_Log	Log of All sectors; total loans Divided by farm mortgages
6941	ASFMA.INTEREST_YoY4	Farm Mortgages (Quarterly, NSA) 30-Year Fixed Interest Burdens 4 Year over 4 Year
6942	ASFMA.INTEREST_YoY5	Farm Mortgages (Quarterly, NSA) 30-Year Fixed Interest Burdens 5 Year over 5 Year
6943	ASFMA.INTEREST_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Farm Mortgages (Quarterly, NSA) 30-Year Fixed Interest Burdens
6944	ASFMA.INTEREST_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15) Farm Mortgages (Quarterly, NSA) 30-Year Fixed Interest Burdens
6945	ASFMA.INTEREST_SmoothDer	Derivative of Smoothed Farm Mortgages (Quarterly, NSA) 30-Year Fixed Interest Burdens
6946	ASFMA.INTEREST_Log	Log of Farm Mortgages (Quarterly, NSA) 30-Year Fixed Interest Burdens
6947	ASFMA.INTEREST_mva200	Farm Mortgages (Quarterly, NSA) 30-Year Fixed Interest Burdens 200 Day MA
6948	ASFMA.INTEREST_mva050	Farm Mortgages (Quarterly, NSA) 30-Year Fixed Interest Burdens 50 Day MA
6950	ASFMA.INTEREST.by.GDP_YoY4	Farm Mortgages (Quarterly, NSA) Interest Burden Divided by GDP 4 Year over 4 Year
6951	ASFMA.INTEREST.by.GDP_YoY5	Farm Mortgages (Quarterly, NSA) Interest Burden Divided by GDP 5 Year over 5 Year
6952	ASFMA.INTEREST.by.GDP_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Farm Mortgages (Quarterly, NSA) Interest Burden Divided by GDP
6953	ASFMA.INTEREST.by.GDP_Smooth.short	Savitsky-Golay Smoothed (p=3, n=15) Farm Mortgages (Quarterly, NSA) Interest Burden Divided by GDP
6954	ASFMA.INTEREST.by.GDP_SmoothDer	Derivative of Smoothed Farm Mortgages (Quarterly, NSA) Interest Burden Divided by GDP
6955	ASFMA.INTEREST.by.GDP_Log	Log of Farm Mortgages (Quarterly, NSA) Interest Burden Divided by GDP
6956	ASFMA.INTEREST.by.GDP_mva200	Farm Mortgages (Quarterly, NSA) Interest Burden Divided by GDP 200 Day MA
6957	ASFMA.INTEREST.by.GDP_mva050	Farm Mortgages (Quarterly, NSA) Interest Burden Divided by GDP 50 Day MA
6958	FARMINCOME.by.GDP_YoY	Farm Income (Annual, NSA) Divided by GDP Year over Year
6963	FARMINCOME.by.GDP_SmoothDer	Derivative of Smoothed Farm Income (Annual, NSA) Divided by GDP
6964	FARMINCOME.by.GDP_Log	Log of Farm Income (Annual, NSA) Divided by GDP
6977	WALCL.by.GDP_YoY4	All Federal Reserve Banks: Total Assets Divided by GDP 4 Year over 4 Year
6979	WALCL.by.GDP_Smooth	Savitsky-Golay Smoothed (p=3, n=365) All Federal Reserve Banks: Total Assets Divided by GDP
6981	WALCL.by.GDP_SmoothDer	Derivative of Smoothed All Federal Reserve Banks: Total Assets Divided by GDP
6983	WALCL.by.GDP_mva200	All Federal Reserve Banks: Total Assets Divided by GDP 200 Day MA
6984	WALCL.by.GDP_mva050	All Federal Reserve Banks: Total Assets Divided by GDP 50 Day MA
6985	ECBASSETS.by.EUNNGDP_YoY	Central Bank Assets for Euro Area (11-19 Countries) Divided by GDP Year over Year
6990	ECBASSETS.by.EUNNGDP_SmoothDer	Derivative of Smoothed Central Bank Assets for Euro Area (11-19 Countries) Divided by GDP
6991	ECBASSETS.by.EUNNGDP_Log	Log of Central Bank Assets for Euro Area (11-19 Countries) Divided by GDP
6999	DGS30TO10_SmoothDer	Derivative of Smoothed Yield Curve, 30 and 10 Year Treasury (DGS30-DGS10)
7000	DGS30TO10_Log	Log of Yield Curve, 30 and 10 Year Treasury (DGS30-DGS10)
7009	DGS10TO1_Log	Log of Yield Curve, 10 and 1 Year Treasury (DGS10-DGS1)
7018	DGS10TO2_Log	Log of Yield Curve, 10 and 2 Year Treasury (DGS10-DGS2)
7024	DGS10TOTB3MS_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Yield Curve, 10 and 3 Month Treasury (DGS10-TB3MS)
7026	DGS10TOTB3MS_SmoothDer	Derivative of Smoothed Yield Curve, 10 and 3 Month Treasury (DGS10-TB3MS)
7027	DGS10TOTB3MS_Log	Log of Yield Curve, 10 and 3 Month Treasury (DGS10-TB3MS)
7028	DGS10TOTB3MS_mva200	Yield Curve, 10 and 3 Month Treasury (DGS10-TB3MS) 200 Day MA
7029	DGS10TOTB3MS_mva050	Yield Curve, 10 and 3 Month Treasury (DGS10-TB3MS) 50 Day MA
7033	DGS10TODTB3_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Yield Curve, 10 and 3 Month Treasury (DGS10-DTB3)
7035	DGS10TODTB3_SmoothDer	Derivative of Smoothed Yield Curve, 10 and 3 Month Treasury (DGS10-DTB3)
7036	DGS10TODTB3_Log	Log of Yield Curve, 10 and 3 Month Treasury (DGS10-DTB3)
7037	DGS10TODTB3_mva200	Yield Curve, 10 and 3 Month Treasury (DGS10-DTB3) 200 Day MA
7038	DGS10TODTB3_mva050	Yield Curve, 10 and 3 Month Treasury (DGS10-DTB3) 50 Day MA
7048	LNU03000000BYPOPTHM_YoY	Unemployment level (NSA) / Population Year over Year
7053	LNU03000000BYPOPTHM_SmoothDer	Derivative of Smoothed Unemployment level (NSA) / Population
7062	UNEMPLOYBYPOPTHM_SmoothDer	Derivative of Smoothed Unemployment level, seasonally adjusted / Population
7069	NPPTTLBYPOPTHM_Smooth	Savitsky-Golay Smoothed (p=3, n=365) ADP Private Employment / Population
7071	NPPTTLBYPOPTHM_SmoothDer	Derivative of Smoothed ADP Private Employment / Population
7072	NPPTTLBYPOPTHM_Log	Log of ADP Private Employment / Population
7073	NPPTTLBYPOPTHM_mva200	ADP Private Employment / Population 200 Day MA
7074	NPPTTLBYPOPTHM_mva050	ADP Private Employment / Population 50 Day MA
7075	U6toU3_YoY	U6RATE minums UNRATE Year over Year
7077	U6toU3_YoY5	U6RATE minums UNRATE 5 Year over 5 Year
7080	U6toU3_SmoothDer	Derivative of Smoothed U6RATE minums UNRATE
7089	CHRISCMEHG1.by.PPIACO_SmoothDer	Derivative of Smoothed Copper, $/lb, Normalized by commodities producer price index
7098	CHRISCMEHG1.by.CPIAUCSL_SmoothDer	Derivative of Smoothed Copper, $/lb, Normalized by consumer price index
7105	DCOILBRENTEU.by.PPIACO_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Crude Oil - Brent, $/bbl, Normalized by producer price index c.o.
7107	DCOILBRENTEU.by.PPIACO_SmoothDer	Derivative of Smoothed Crude Oil - Brent, $/bbl, Normalized by producer price index c.o.
7109	DCOILBRENTEU.by.PPIACO_mva200	Crude Oil - Brent, $/bbl, Normalized by producer price index c.o. 200 Day MA
7110	DCOILBRENTEU.by.PPIACO_mva050	Crude Oil - Brent, $/bbl, Normalized by producer price index c.o. 50 Day MA
7114	DCOILWTICO.by.PPIACO_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Crude Oil - WTI, $/bbl, Normalized by producer price index c.o.
7116	DCOILWTICO.by.PPIACO_SmoothDer	Derivative of Smoothed Crude Oil - WTI, $/bbl, Normalized by producer price index c.o.
7117	DCOILWTICO.by.PPIACO_Log	Log of Crude Oil - WTI, $/bbl, Normalized by producer price index c.o.
7118	DCOILWTICO.by.PPIACO_mva200	Crude Oil - WTI, $/bbl, Normalized by producer price index c.o. 200 Day MA
7119	DCOILWTICO.by.PPIACO_mva050	Crude Oil - WTI, $/bbl, Normalized by producer price index c.o. 50 Day MA
7123	LBMAGOLD.USD_PM.by.PPIACO_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Gold, USD PM/Troy Ounce, Normalized by commodities producer price index
7125	LBMAGOLD.USD_PM.by.PPIACO_SmoothDer	Derivative of Smoothed Gold, USD PM/Troy Ounce, Normalized by commodities producer price index
7128	LBMAGOLD.USD_PM.by.PPIACO_mva050	Gold, USD PM/Troy Ounce, Normalized by commodities producer price index 50 Day MA
7132	LBMAGOLD.USD_PM.by.CPIAUCSL_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Gold, USD/Troy OUnce, Normalized by consumer price index
7134	LBMAGOLD.USD_PM.by.CPIAUCSL_SmoothDer	Derivative of Smoothed Gold, USD/Troy OUnce, Normalized by consumer price index
7137	LBMAGOLD.USD_PM.by.CPIAUCSL_mva050	Gold, USD/Troy OUnce, Normalized by consumer price index 50 Day MA
7141	LBMAGOLD.USD_PM.by.GDP_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Gold, USD/Troy OUnce, Normalized by GDP
7143	LBMAGOLD.USD_PM.by.GDP_SmoothDer	Derivative of Smoothed Gold, USD/Troy OUnce, Normalized by GDP
7146	LBMAGOLD.USD_PM.by.GDP_mva050	Gold, USD/Troy OUnce, Normalized by GDP 50 Day MA
7150	GSG.Close.by.GDPDEF_Smooth	Savitsky-Golay Smoothed (p=3, n=365) GSCI Commodity-Indexed Trust, Normalized by GDP def
7152	GSG.Close.by.GDPDEF_SmoothDer	Derivative of Smoothed GSCI Commodity-Indexed Trust, Normalized by GDP def
7154	GSG.Close.by.GDPDEF_mva200	GSCI Commodity-Indexed Trust, Normalized by GDP def 200 Day MA
7155	GSG.Close.by.GDPDEF_mva050	GSCI Commodity-Indexed Trust, Normalized by GDP def 50 Day MA
7159	GSG.Close.by.GSPC.Close_Smooth	Savitsky-Golay Smoothed (p=3, n=365) GSCI Commodity-Indexed Trust, Normalized by S&P 500
7161	GSG.Close.by.GSPC.Close_SmoothDer	Derivative of Smoothed GSCI Commodity-Indexed Trust, Normalized by S&P 500
7163	GSG.Close.by.GSPC.Close_mva200	GSCI Commodity-Indexed Trust, Normalized by S&P 500 200 Day MA
7164	GSG.Close.by.GSPC.Close_mva050	GSCI Commodity-Indexed Trust, Normalized by S&P 500 50 Day MA
7172	GDPBYPOPTHM_mva200	GDP/Population 200 Day MA
7199	GSPC.CloseBYMDY.Close_mva200	GSPC by MDY 200 Day MA
7213	GSPC.DailySwing_Smooth	Savitsky-Golay Smoothed (p=3, n=365) S&P 500 (^GSPC) Daily Swing: (High - Low) / Open
7215	GSPC.DailySwing_SmoothDer	Derivative of Smoothed S&P 500 (^GSPC) Daily Swing: (High - Low) / Open
7216	GSPC.DailySwing_Log	Log of S&P 500 (^GSPC) Daily Swing: (High - Low) / Open
7240	HNFSUSNSA.minus.HSN1FNSA_Smooth	Savitsky-Golay Smoothed (p=3, n=365) Houses for sale - houses sold
7244	HNFSUSNSA.minus.HSN1FNSA_mva200	Houses for sale - houses sold 200 Day MA
7249	MSPUS.times.HOUST_Smooth	Savitsky-Golay Smoothed (p=3, n=365) New privately owned units start times median price
7252	MSPUS.times.HOUST_Log	Log of New privately owned units start times median price
7253	MSPUS.times.HOUST_mva200	New privately owned units start times median price 200 Day MA
7254	MSPUS.times.HOUST_mva050	New privately owned units start times median price 50 Day MA
7258	MSPUS.times.HNFSUSNSA_Smooth	Savitsky-Golay Smoothed (p=3, n=365) New privately owned 1-family units for sale times median price
7261	MSPUS.times.HNFSUSNSA_Log	Log of New privately owned 1-family units for sale times median price
7262	MSPUS.times.HNFSUSNSA_mva200	New privately owned 1-family units for sale times median price 200 Day MA
7263	MSPUS.times.HNFSUSNSA_mva050	New privately owned 1-family units for sale times median price 50 Day MA
7272	MULTPLSP500PERATIOMONTH_Mean	S&P 500 TTM P/E Average (Excludes Values Greater Than 50)

Equities

S&P 500 SMA Trends

Take a look at recent activity in the equities market. This section looks at the S&P 500 close value to the 50 day and 200 day simple moving average (SMA).

This is a longer view for the S&P 500 trend.

Equity indexes normalized by GDP

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The last two years compare favorably with the period around the late 1950’s. Need to dig into this one.

datay <- "GSPC.Close"
ylim <- c(2000, d.GSPC.max)
my.data <- plotSimilarPeriods(df.data, dfRecession, df.symbols, datay, ylim, i.window = 60)
my.data[[1]]

Look at how the different segments of the market move

datay <- "GSPC.CloseBYMDY.Close_YoY"
ylim <- c(-50, 75)
dtStart = as.Date('1980-01-01')
plotSingle(dfRecession, df.data, "date", datay, getPlotTitle(df.symbols, datay), "Date", 
            getPlotYLabel(df.symbols, datay), c(dtStart, Sys.Date()), ylim, TRUE)

datay <- "GSPC.CloseBYMDY.Close"
ylim <- c(0, 20)
dtStart = as.Date('1980-01-01')
plotSingle(dfRecession, df.data, "date", datay, getPlotTitle(df.symbols, datay), "Date", 
            getPlotYLabel(df.symbols, datay), c(dtStart, Sys.Date()), ylim, TRUE)

S&P 500 Normalized moving average

Look at moving average relationship by dividing the S&P 500 open price by the 200 day SMA.

datay <- "GSPC.Open_mva200_Norm"
ylim <- c(50, 125)
dt.start = as.Date('2008-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dt.start)

Crossovers

Look at the 50 DMA versus 200 DMA, often used as a technical indicator of market direction.

datay <- "GSPC.Open_mva050_mva200"
ylim <- c(-300, 300)
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStartBackTest)

datay <- "GSPC.Open_mva050_mva200_sig "
ylim <- c(0.0, 1.0)
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStartBackTest)

S&P 500 TTM P/E

Take a look at some of the earnings trends from SilverBlatt’s sheet.

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Take a longer look back at as-reported and operating earnings

Market prices can out-run earnings so take a look at price to earnings.

Focus on some of the more recent activity

S&P 500 Sales

datay <- "MULTPLSP500SALESQUARTER"
ylim <- c(500, 2000)
dt.start <- as.Date('1999-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dt.start)

datay <- "MULTPLSP500SALESQUARTER"
ylim <- c(500, 2000)
dt.start = as.Date('2001-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dt.start)

Unit Profits

The series peaks in the middle of a bull market.

S&P 500 dividends

12-month real dividend per share inflation adjusted November, 2018 dollars. Data courtesy Standard & Poor’s and Robert Shiller.

https://www.quandl.com/data/MULTPL/SP500_DIV_MONTH-S-P-500-Dividend-by-Month

Evaluate year over year dividend growth.

Real value dividend growth.

datay <- "MULTPLSP500DIVMONTH_YoY"
ylim <- c(-40, 20)
dtStart = as.Date('2001-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart, b.percentile = FALSE)

S&P 500 dividend yield (12 month dividend per share)/price. Yields following September 2018 (including the current yield) are estimated based on 12 month dividends through September 2018, as reported by S&P. Sources: Standard & Poor’s for current S&P 500 Dividend Yield. Robert Shiller and his book Irrational Exuberance for historic S&P 500 Dividend Yields.

https://www.quandl.com/data/MULTPL/SP500_DIV_YIELD_MONTH-S-P-500-Dividend-Yield-by-Month

datay <- "MULTPLSP500DIVYIELDMONTH"
ylim <- c(0, 12)
dtStart = as.Date('1950-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart, b.percentile = FALSE)

datay <- "MULTPLSP500DIVYIELDMONTH"
ylim <- c(1, 4)
dtStart = as.Date('2001-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart, b.percentile = FALSE)

S&P 500 Volume

The log of the S&P volume has some interesting patterns, but nothing that seems to help with a recession indicator.

That is one spiky data series. Not sure there is a lot to help us here.

Russell 2000

Take a look at recent activity in the small cap market.

S&P 500 to Rusell 2000

Thirty day movement

Correlation

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S&P 500 to MDY (Mid-cap) 2000 Correlation

datay1 <- "RLG.Open"
ylim1 <- c(0, 2500)

datay2 <- "MDY.Open"
ylim2 <- c(0, 500)

dtStart <- as.Date("1jan2003","%d%b%Y")

w <- 30
corrName <-
  calcRollingCorr(dfRecession,
                  df.data,
                  df.symbols,
                  datay1,
                  ylim1,
                  datay2,
                  ylim2,
                  w,
                  dtStart)

## Warning in max.default(structure(numeric(0), class = "Date"),
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Dividend Stocks

This is an interesting series, they should perform better through the recessions. Unfortunately they are short lived so there is not much data so this is more of a place holder for now.

datay <- "NOBL.Open"
ylim <- c(40, 110)
dt.start <- as.Date('2014-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dt.start)

Margin and option data

NYSE Margin Debt

Taking a look at margin debt. NYXDATA stopped providing NYSE margin debt data on Dec 2017. Data is available from FINRA, but it includes more accounts than the data did for NYXdata. I stitched togeter the data sets: data after Jan 2010 include NYSE+Others, data prior is just NYSE account data scaled up to match the FINRA data.

It tends to creep up when there is a frenzy in the stock market.

datay <- "FINRAMarginDebt_Log"
ylim <- c(5, 15)
plotSingleQuick(dfRecession, df.data, datay, ylim)

Take a close look at recent activity

Sometimes it is more helpful to view year over year growth.

More near-term trend.

Take a look at some of the correlations

datay1 <- "FINRAMarginDebt_YoY"
ylim1 <- c(-100, 100)

datay2 <- "GSPC.Close_YoY"
ylim2 <- c(-100, 100)

dtStart <- as.Date("1jan1995","%d%b%Y")

w <- 90
corrName <-
  calcRollingCorr(dfRecession,
                  df.data,
                  df.symbols,
                  datay1,
                  ylim1,
                  datay2,
                  ylim2,
                  w,
                  dtStart)

Comparison to the Russell 2000

datay1 <- "FINRAMarginDebt_YoY"
ylim1 <- c(-100, 100)

datay2 <- "RLG.Close_YoY"
ylim2 <- c(-100, 100)

dtStart <- as.Date("1jan1995","%d%b%Y")

w <- 90
corrName <-
  calcRollingCorr(dfRecession,
                  df.data,
                  df.symbols,
                  datay1,
                  ylim1,
                  datay2,
                  ylim2,
                  w,
                  dtStart)

OCC Options Volumes

See what is happening with the options volumes for equities. (From: https://www.theocc.com/webapps/historical-volume-query)

Looks like options on non-equity co-occurs with peaks/troughs?.

Market Volatility

Take a look at some of the indications of market volatility

CBOE VIX

As markets become complacent (low VIX) and high values, peaks often occur.

Compare the VIX to some of the ETF’s out there.

There

Not much predictive in VIX, take a quick look at the smoothed derivative.

S&P Daily Swings

Daily changes in the S&P should correlate well with the VIX.

More of a correlating series than a predictor.

Employment and payrolls

Unemployment rates

Unemployment rates will probably be useful, let’s take a look at the U-3. The data is a little noisy so there is also a smoothed version plotted. There seems to be a relationship between the unemployment rate and the recessions, but it could be a lagging indicator. This will be explored a little bit more later.

Looking at the unemployment rate, the eye is drawn to the rise and fall of the data, this suggests that the derivative might be helpful as well. The figure below shows the results, using a Savitzky-Golay FIR filter. It looks like the unemployment rate peaks in the middel of the recession. That peak might be a good buy signal.

Continuing Claims

A good measure of how much unemployment is growing.

Continued claims, also referred to as insured unemployment, is the number of people who have already filed an initial claim and who have experienced a week of unemployment and then filed a continued claim to claim benefits for that week of unemployment. Continued claims data are based on the week of unemployment, not the week when the initial claim was filed

https://fred.stlouisfed.org/series/CCNSA

A good measure of how much unemployment is growing

Initial Claims

A good measure of how much unemployment is growing.

An initial claim is a claim filed by an unemployed individual after a separation from an employer. The claim requests a determination of basic eligibility for the Unemployment Insurance program.

https://fred.stlouisfed.org/series/ICSA

Unemployment rates, year-over-year

Both the headline unemployment and U-6 number changes are similar. During the upswing on the cycle it does look like the headline number falls faster than U-6

The second derivative of the unemployment rate does have zero crossings near the middle point of a recession. This would make it a helpful buy signal for the trading strategy.

Unemployment rates, similar periods

Historically the last two years of record low unemployment appear most similar to the 1971-1973 time frame. Just before inflation took off.

Unemployment rates, U-6 and headline number.

Let’s also take a look at the total unemployed, U-6. It continues to fall as the headline number stabilizes as people return to the work force. An indicator the cycle is beginning to top out.

Difference between U6 and U3 to see how close the economy is getting to full employment.

Unemployment and market bottoms

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Initial jobless claims

We will also take a look at initial jobless claims, this should start to rise just before the unemployment rate.

It looks like the jobless claim tend to peak more towards the end of the recession. It does not seem to be as strong of a sell indicator as the U-3 rate.

Jobless claims have a seasonal component to them. One way to reduce this effect is to calculate year over year growth. That helps some, the peaks seem to be more closely aligned with the middle to end of recessions.

Take a closer look at recent data

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Take a look at the percentage of the population looking for work

A bit more recent trend

Unemployment Level

ADP data here. comes out before the official numbers.

Look at the year-over-year change in ADP.

ADP data divided by the population

Payrolls

Look at the BLS data on payrolls. Check the NSA series, then we will look at YoY data.

Hours worked

Sparked by an article at Mises (https://mises.org/wire/how-alexandria-ocasio-cortez-misunderstands-american-poverty), take a look at average weekly hours

The time series is pretty lumpy, plot the YoY change

A more recent look at average weekly hours of production

Industrial Production

Industrial production is also known to fall during an economic downturm, let’s take a look at some of the data from the FRED on industrial production. It does seem to peak prior to a recession so let’s smooth and look at the derivative as it might be a good indicator as well.

Industrial production over the last ten years or so

The derivative isn’t bad, but it sometimes crosses zeros well into a recession. That is less helpful as either a buy or sell indicator. A better measure might year over year (YoY) change.

The year over year change has a similar appearance. The low values at the beginning make the year over year values larger than the more recent values. Seems like it will rank low a reliable indicator.

datay1 <- "INDPRO_YoY"
ylim1 <- c(-20, 12)

datay2 <- "GSPC.Close_YoY"
ylim2 <- c(-100, 50)

dtStart <- as.Date("1jan1981","%d%b%Y")

w <- 360
corrName <- calcRollingCorr(dfRecession, df.data, df.symbols, datay1, ylim1, datay2, ylim2, w, dtStart)

Retail Sales

Retail sales, aggregate

Retail sales also change during recession. As the plot below shows, it seems to follow the trend of industrial production. It might be too strongly correlated to add much to the model. The will be examined in the correlation section.

The derivative of retail sales is a little more erratic than is was the industrial products. Looks like it might be helpful to include in the model as well.

Retail sales, aggregate year-over-year

Take a look at year-over-year changes

Retail sales and unemployment correlations

Let’s see how that looks on year over year basis. Interesting to compare to unemployment rates there appears to a correlation over the long term.

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There is some similarity. The rolling correlation shows the inverse relationship prior to a recession.

datay1 <- "RSALESAGG_YoY"
ylim1 <- c(-12.5, 12.5)

datay2 <- "UNEMPLOY_YoY"
ylim2 <- c(-30, 150)

dtStart <- as.Date("1jan1970","%d%b%Y")

w <- 180
corrName <- calcRollingCorr(dfRecession,df.data, df.symbols, datay1, ylim1, datay2, ylim2, w, dtStart)

Retail sales correlation and industrial production

Industrial production and retail sales look very similar so the plot below shows the 360 correlation. The corerlation does tend to fall around a recession, although 2008 was so bad that they both fell together. Not sure if it is that useful.

datay1 <- "INDPRO"
ylim1 <- c(40, 125)

datay2 <- "RSALESAGG"
ylim2 <- c(100000, 200000)

dtStart <- as.Date("1jan1981","%d%b%Y")

w <- 60
corrName <- calcRollingCorr(dfRecession, df.data, df.symbols, datay1, ylim1, datay2, ylim2, w, dtStart)

It is interesting to see the strong correlation; however, I suspect this is due to more to the shape of the trends. How do the YoY correlations look? They are a little less correlated, probably better to use in the machine learning later.

datay1 <- "INDPRO_YoY"
ylim1 <- c(-20, 20)

datay2 <- "RSALESAGG_YoY"
ylim2 <- c(-20, 20)

dtStart <- as.Date("1jan1981","%d%b%Y")

w <- 30
corrName <- calcRollingCorr(dfRecession, df.data, df.symbols, datay1, ylim1, datay2, ylim2, w, dtStart)

Advance Retail Sales

This is an advanced estimate of the retail sales value.

Also take a look at year over year

Retail sales and the labor market

Income

Real Personal Income

Real Personal Income (Excluding Transfer, Annual)

During a recession real personal income falls. In the plot the peaks can be seen prior to each recession.

datay <- "W875RX1"
ylim <- c(3000, 15000)
plotSingleQuickModern(datay, ylim)

The features we are interested in are the peaks and valleys so we’ll use the derivative to get to those. Interesting, there is usually a first zero crossing before a recession and a second during or just after the recession.

Real personal income might have some seasonal variance, but it seems the year over year change tells the same story.

Price and cost measures

This section shows price and cost measures.

Two commonly used indexes are the CPI (consumer price index) and PPI (producer price index). CPI tries to show final prices paid for goods and services by urban U.S. consumers. This index includes sales tax and imports. The PPI attempts to reflect the prices paid at all stages of production, including goods and services purchases as inputs as well as goods and services purchased by consumers from retail and producer sellers. The PPI does not include imports or sales tax. The CPI reflects all rebates and financing plans wherease the PPI reflects only those rebate and financing plans provided by the producer. For example if an automotive manufacturer offers a rebate of $500 and the dealer offers an additional rebate of $500 then the PPI would reflect only the automotive manufacturer rebate, but the CPI would reflect both rebates.

Sources; https://www.bls.gov/opub/hom/pdf/cpihom.pdf and https://www.bls.gov/opub/hom/pdf/ppi-20111028.pdf.

Consumer price index

What does CPI look like?

datay <- "CPIAUCSL"
ylim <- c(0, 300)
plotSingleQuickModern(datay, ylim)

Check out the YoY growth

datay <- "CPIAUCSL_YoY"
ylim <- c(-2, 15)
plotSingleQuickModern(datay, ylim)

CPI to PPI

Suggested by Charlie, it can be helpful to look at the relationship between producer prices and consumer prices.

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Producer Price Index (Commodities)

Commodities

Basket

Take a look at some trends of baskets of commodities.

This plot examines commodity performance relative to the GDP deflator

Crude oil

Look at a trend of West Texas Intermediate (WTI)

This is ticker data from yahoo

Take a look at both WTI and Brent crude.

Real price of crude using producer price index for commodities

Gold

As risks increase investors often flock to safe haven assets like gold. An up-tick in prices can indicate investor uncertainty. This can be seen in the nominal price plot around 1980 and again in 2007.

This plots out the real price of gold by two different deflators. PPI corrected price is a little higher, to be expected since CPI also includes the effects of sales tax and imports. The spike in 1980 is especially pronounced in this series.

See how nominal and real prices look year over year. From the long-term view seems like there is little difference in the three series. Although not shown, even over the near-term there is little difference in the series.

See how gold correlates with the VIX. Both gold and VIX should respond to investor axiety, but it doesn’t look like it correlates very well.

## `geom_smooth()` using formula 'y ~ x'

## Warning: Removed 242 rows containing non-finite values (stat_smooth).

Copper

Dr. Copper has a reputation as an indicator of economic malaise, but it does not seem to have much of a correlation with the recessions. The series below is from CME via Quandl. It has a lot of data so I am also looking at the smoothed version.

Copper is one of the commodities in the PPI so it is a bit of a proxy for how copper is doing relative to the basket of commodities.

The change in prices, year over year, do generally peak prior to a recession. The time and shape of this peak varies, but it still might be helpful. A couple of the large troughs do seem to correlate with the end of the recession. Likely this is because industrial production has also fallen.

There is some correlation between copper and the smooth recession initiator, especially at the end of the recession.

Might be easier to see correlation in a dot plot format.

## `geom_smooth()` using formula 'y ~ x'

## Warning: Removed 342 rows containing non-finite values (stat_smooth).

This is a legacy series from FRED. It has not been updated in a couple of years so I am assuming it will go away.

Oil Services

Amazing events in the first half of 2020, take a look at those

See how the players are doing

Federal Reserve

The federal reserve has an impact on the economy, here are some data series relating to that.

Little bit closer

datay <- "WALCL"
ylim <- c(0, 10000)
dtStart = as.Date('2003-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

Federal Reserve Reverse Repo Agreements

Compare liabilities to reverse repo trends

Take a look at more recent trends

Spiky, might be easier to look at year-over-year

Normalized by GDP

datay <- "WLRRAL.by.GDP"
ylim <- c(0, 4)
dtStart = as.Date('2003-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

Overnight Bank Funding Rate

“The overnight bank funding rate is calculated using federal funds transactions and certain Eurodollar transactions. The federal funds market consists of domestic unsecured borrowings in U.S. dollars by depository institutions from other depository institutions and certain other entities, primarily government-sponsored enterprises, while the Eurodollar market consists of unsecured U.S. dollar deposits held at banks or bank branches outside of the United States. U.S.-based banks can also take Eurodollar deposits domestically through international banking facilities (IBFs). The overnight bank funding rate (OBFR) is calculated as a volume-weighted median of overnight federal funds transactions and Eurodollar transactions reported in the FR 2420 Report of Selected Money Market Rates. Volume-weighted median is the rate associated with transactions at the 50th percentile of transaction volume. Specifically, the volume-weighted median rate is calculated by ordering the transactions from lowest to highest rate, taking the cumulative sum of volumes of these transactions, and identifying the rate associated with the trades at the 50th percentile of dollar volume. The published rates are the volume-weighted median transacted rate, rounded to the nearest basis point.” https://www.newyorkfed.org/markets/obfrinfo.

Secured Overnight Financing Rate

“The Secured Overnight Financing Rate (SOFR) is a broad measure of the cost of borrowing cash overnight collateralized by Treasury securities. The SOFR includes all trades in the Broad General Collateral Rate plus bilateral Treasury repurchase agreement (repo) transactions cleared through the Delivery-versus-Payment (DVP) service offered by the Fixed Income Clearing Corporation (FICC), which is filtered to remove a portion of transactions considered “specials” " https://apps.newyorkfed.org/markets/autorates/sofr

Take a look at the variation (99th - 1st percentile)

Reserve Balances with Federal Reserve Banks

Hard to get a sense of these series in the absolute. Take a look relative to GDP.

By double entry book-keeping reserves+loans (assets) = deposit (liabilities). Does that really work?

Correlation Between Reserves and Total Loans

As reserves increase there should be less lending. That correlation generally holds.

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## replace the existing scale.

Did the reserve balances increase after the 2016 and 2018 drops? Not in the same way. There are some relationships between the equities market and the reserves though.

Explicitly correlate reserve balances and total loans. It is a weak and noisy correlation.

## `geom_smooth()` using formula 'y ~ x'

## Warning: Removed 990 rows containing non-finite values (stat_smooth).

Interest on excess reserves

Monetary Base

Currency trend, base

This used to trend along with GDP. It doesn’t anymore.

Money supplies

Basic currency trend (currency component of M1)

datay <- "WCURRNS_YoY"
dtStart = as.Date('1980-01-01')
ylim <- c(0, 17)
myplot <- plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)
myplot

datay <- "WCURRNS_YoY"
dtStart = as.Date('2000-01-01')
ylim <- c(0, 20)
myplot <- plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)
myplot

The rate of change of money supply could be an indicator of a recession. Let’s see how that compares.

Intervention in the repo market

The federal reserve provides liquidity to the repo market, summary of that action

European central bank

The European central band (ECB) has taken a different path compared to the US Federal Reserve bank.

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Federal Debt

The government is a big driver of the economy, let’s see what it is doing in the debt markets.

datay <- "GFDEBTN"
ylim <- c(0, 35000000)
plotSingleQuick(dfRecession, df.data, datay, ylim)

datay <- "GFDEBTN_Log"
ylim <- c(12, 18)
plotSingleQuick(dfRecession, df.data, datay, ylim)

datay <- "GFDEBTN_YoY"
ylim <- c(-10, 25)
plotSingleQuick(dfRecession, df.data, datay, ylim)

Federal debt as percent GDP

datay <- "GFDEGDQ188S"
ylim <- c(30, 150)
plotSingleQuick(dfRecession, df.data, datay, ylim)

Federal deficit as percent GDP

datay <- "FYFSGDA188S"
ylim <- c(-30, 5)
plotSingleQuick(dfRecession, df.data, datay, ylim)

Charlie Hatch has a nice format of deficit versus debt:

## Scale for 'y' is already present. Adding another scale for 'y', which will
## replace the existing scale.

Nonfinancial Corporate Business Debt

What about Nonfinancial corporate business and debt securities? Hopefully this doesn’t follow the business loan trends.

That is crazy steep. Time for a log format, see if that brings out the peaks and troughs. That’s a litte better, it looks like there might be a change in slope prior to the recessions.

The derivative doesn’t seem to be much help. There is not much correlation between the zero crossings and the NEBR recessions.

Debt cycle

This analysis roughly follows the ideas in Big Debt Crises book by Ray Dalio.

Total loans

One business cycle theory describes recessions as a market adjustment to mis-allocated assets, often fueled by an credit expansion. That makes the volume of loans an interesting feature to look at. In the presentation of data it looks like the great recession had the largest impact.

Plotting the year over year growth rate helps pull out those small changes in the early years in the data. Peaks can be seen prior to most recessions.

Zoom in to the last couple of decades

As long term interest rates rise, loans should start to tick down. To check this, the total loans and 10 to 1 year spreads are plotted. This is generally the trend observed.

There is a good correlation between these two variables. This next section plots that correction explicitly.

Total loans as percent of GDP

This is the total loans. I think the picture is too broad to point to a specific sector of the economy. The debt burden assumes interest rates are tied to the 10-year treasury: (TOTLNNSA * DGS10) / 100

Commercial and industral loans

Business loans should slow before the recession (a contraction in credit as rates rise).

Commercial and industrial loans as percent of GDP and and income

Look at business debt normalized by GDP over the entire time series. This ratio often peaks at the mid-point of a recession.

https://www.wsj.com/articles/this-isnt-your-fathers-corporate-bond-market-11590574555

“Bonds are behaving more like bank debt, which tends to remain stable or even increase at the onset of recessions, as lenders keep distressed clients afloat—and only later turn off the taps. This was confirmed by a recent report from the Bank for International Settlements. It also found a tight link between this lending cycle and the “real” economy’s booms and busts."

I assume that interest is related to the 10-year treasure: (TOTCINSA * DGS10) / 100

Farm loans

See how the farming sector is fairing.

Real estate loans

Data taken from H.8 Assets and Liabilities of Commercial Banks in the United States. Take a look at SA and NSA data series as weekly and month updates. It should all be similar at this scale.

This gives a big picture, but makes it hard to connect the loans with the income needed to cover those loans. In the next section, loans will be broken up by commercial and residential.

Real Estate (Residential)

In absolute terms the mortgages have increased, but it does not appear to be out of line with the overall economy.

Normalized by GDP it is easier to see the peak in 2008 and that loan levels appear reasonable at the commercial banks.

Maybe the GSE’s are making loans. Take a look at the total mortgages from Z.1 as a percentage of GDP. That does not look too far off trend (ignoring that peak in 2008).

I am assuming that personal income is paying for the mortgages.

Real estate (residential) as percent of GDP and and income

## Warning: Removed 1 rows containing missing values (geom_text).

Consumer loans

Focusing on the consumer sector the growth in debt and incomes can be directly compared. Personal income, as a percent of GDP, remains nearly constant. It is not uncommon for the personal income to rise prior to a recession. Likely this reflect increasing asset prices and market returns. Also interesting to see the loans pick up after interest rates dropped in 1982.

Consumer loans as percent of GDP and and income

Take a closer look since the 2008 recession. Looks like loans are starting to slow as the interest burden rises and incomes remain stable. There are some anomolies in the A065RC1A027NBEA data series because it only updates onces a year. the PI series updates once a month but is noisier and seasonally adjusted. It also shows incomes rising in the middle of the 2008 recession, which doesn’t seem to be accurate.

## Warning: Removed 1 rows containing missing values (geom_text).
## Removed 1 rows containing missing values (geom_text).

## Warning: Removed 1 rows containing missing values (geom_hline).

Repo market

This market went through some stress in 2008, it is happening again so setup some plots to watch it.

Nonfincial corporate business security repo asset level

Bonds

T-Bills and Yield Curve

Speaking of loans, interest rates also play into this. This analysis will focus on treasure bills. The 3-month is plotted below. The yield flattens before a recession as investors go long on bonds and short on equities.

datay <- "TB3MS"
datay.aux <- "DTB3"
ylim <- c(0, 20)
p1 <- plotSingleQuickModern(datay, ylim)
p1 + geom_line(data=df.data, aes_string(x="date", y=datay.aux, colour=shQuote(datay.aux)), na.rm = TRUE)

datay <- "TB3MS"
datay.aux <- "DTB3"
ylim <- c(0, 2.5)
dtStart = as.Date('2017-01-01')
p1 <- plotSingle(dfRecession, df.data, "date", datay, getPlotTitle(df.symbols, datay), "Date", 
            getPlotYLabel(df.symbols, datay), c(dtStart, Sys.Date()), ylim, TRUE)
p1 + geom_line(data=df.data, aes_string(x="date", y=datay.aux, colour=shQuote(datay.aux)), na.rm = TRUE)

# {r bond3monthlibor, echo=FALSE } # # datay <- "TB3MS" # datay_aux <- "USD1MTD156N" # ylim <- c(0, 12) # dtStart = as.Date('1985-01-01') # myPlot <- plotSingle(dfRecession, df.data, "date", datay, getPlotTitle(df.symbols, datay), "Date", # getPlotYLabel(df.symbols, datay), c(dtStart, Sys.Date()), ylim, TRUE) # myPlot <- myPlot + geom_line(data=df.data, aes_string(x="date", y=datay_aux, colour=shQuote(datay_aux)), na.rm = TRUE) # # myPlot # # Check out LIBOR and fed funds rate

The 1-year is plotted below. The yield flattens before a recession as investors go long on bonds and short on equities.

datay <- "DGS10"
datay.aux <- "TNX.Close"
ylim <- c(0, 20)
p1 <- plotSingleQuickModern(datay, ylim)
p1 + geom_line(data=df.data, aes_string(x="date", y=datay.aux, colour=shQuote(datay.aux)), na.rm = TRUE)

Close in, the trend towards inversion be more easily seen. I am also comparing data from the CBOE as well as FRED.

Bond yields are a good proxy for interest rates. As rates rise the theory goes that loans should decrease (inverse correlation).

And a longer window

The yield curve (30 year bond rate minus the 10 year bond rate) may not be a good recession indicator, but a collapse is not good (https://blogs.wsj.com/moneybeat/2018/04/30/theres-more-than-one-part-of-the-yield-curve-getting-flatter/).

The yield curve (10 year bond rate minus the 1 year bond rate) seems to a good indicator of an oncoming recession. It could be a buy indicator by itself.

More recent data

Just the last 24 months or so.

Plot the 10 Year to 3 month over a few decades to see what the outling cases look like

The last two year compare favorably with the period around the 2015-2016 turndown, driven primarily by slowing of the Chinese GDP. Not a debt-driven cycle.

This plot format was suggested by a mises.org article (https://mises.org/wire/yield-curve-accordion-theory), but they only went back to 1988. The date seemed arbitrary so I went back further in time.

Take a look at more recent data

Try looking at a 1-year average of the above time series

High quality bonds

datay <- "AAA"
ylim <- c(1.5, 10)
dtStart = as.Date('1997-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

High quality bonds to 10-year treasury

High quality bonds long-term trend.

datay <- "DGS10ByAAA"
ylim <- c(1, 6.0)
dtStart = as.Date('1967-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

High quality bonds near-term trend.

datay <- "DGS10ByAAA"
ylim <- c(1, 6.0)
dtStart = as.Date('2007-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

High yield spread

“This data represents the Option-Adjusted Spread (OAS) of the ICE BofAML US Corporate A Index, a subset of the ICE BofAML US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating A. The ICE BofAML OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond‚Äôs OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.”

• ICE Benchmark Administration Limited (IBA), ICE BofAML US Corporate A Option-Adjusted Spread [BAMLC0A3CA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/BAMLC0A3CA, July 4, 2019.

datay <- "BAMLC0A3CA"
ylim <- c(0, 7)
dtStart = as.Date('1997-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

Municipal bond market

Suggest by a WSJ article, change in volume for high-risk muni’s. Doesn’t look like there is much too it yet.

https://www.wsj.com/articles/risky-municipal-bonds-are-on-a-hot-streak-11558949401?mod=hp_lead_pos3

datay <- "HYMB.Close"
ylim <- c(40, 62)
dtStart = as.Date('2011-01-01')
p1 <- plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

p1 <-
  p1 + geom_vline(
    xintercept = as.Date("2015-08-24"),
    linetype = "dashed",
    color = "grey",
    size = 1.0
  )

p1 <-
  p1 + geom_vline(
    xintercept = as.Date("2016-01-08"),
    linetype = "dashed",
    color = "grey",
    size = 1.0
  )
p1 <-
  p1 + geom_vline(
    xintercept = as.Date("2018-02-05"),
    linetype = "dashed",
    color = "grey",
    size = 1.0
  )
p1 <-
  p1 + geom_vline(
    xintercept = as.Date("2018-10-11"),
    linetype = "dashed",
    color = "grey",
    size = 1.0
  )

datay <- "HYMB.Volume"
ylim <- c(0, 1750000)
p1.vol <- plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

p1.vol <-
  p1.vol + geom_vline(
    xintercept = as.Date("2015-08-24"),
    linetype = "dashed",
    color = "grey",
    size = 1.0
  )

p1.vol <-
  p1.vol + geom_vline(
    xintercept = as.Date("2016-01-08"),
    linetype = "dashed",
    color = "grey",
    size = 1.0
  )
p1.vol <-
  p1.vol + geom_vline(
    xintercept = as.Date("2018-02-05"),
    linetype = "dashed",
    color = "grey",
    size = 1.0
  )
p1.vol <-
  p1.vol + geom_vline(
    xintercept = as.Date("2018-10-11"),
    linetype = "dashed",
    color = "grey",
    size = 1.0
  )


datay <- "GSPC.Open"
datay_aux <- "GSPC.Close"
ylim <- c(1500, d.GSPC.max )
p2 <-
  plotSingle(
    dfRecession,
    df.data,
    "date",
    datay,
    getPlotTitle(df.symbols, datay),
    "Date",
    getPlotYLabel(df.symbols, datay),
    c(dtStart, Sys.Date()),
    ylim,
    TRUE
  )

p2 <-
  p2 + geom_vline(
    xintercept = as.Date("2015-08-24"),
    linetype = "dashed",
    color = "grey",
    size = 1.0
  )
p2 <-
  p2 + geom_vline(
    xintercept = as.Date("2016-01-08"),
    linetype = "dashed",
    color = "grey",
    size = 1.0
  )
p2 <-
  p2 + geom_vline(
    xintercept = as.Date("2018-02-05"),
    linetype = "dashed",
    color = "grey",
    size = 1.0
  )
p2 <-
  p2 + geom_vline(
    xintercept = as.Date("2018-10-11"),
    linetype = "dashed",
    color = "grey",
    size = 1.0
  )


grid.arrange(p1,
             p1.vol,
             p2,
             ncol = 1,
             top = "High Yield Muni's and S&P Price")

Total Loans and yield curve correlation

This relationship was suggest by Charlie and it is an interesting one. As the yield curve flattens (10-year and 1-year rates converge), total loans grow. The generalization is not always accurate, but it does fit.

## `geom_smooth()` using formula 'y ~ x'

I wanted to see how this looked compared to the 3 month

## `geom_smooth()` using formula 'y ~ x'

## Warning: Removed 282 rows containing non-finite values (stat_smooth).

Consumer loans and yield curve correlation

Compared to business loans, consumer loans seem to have to response to the 10Y to 3M yield curve.

## `geom_smooth()` using formula 'y ~ x'

## Warning: Removed 311 rows containing non-finite values (stat_smooth).

Business loans and yield curve correlation

## `geom_smooth()` using formula 'y ~ x'

## Warning: Removed 105 rows containing non-finite values (stat_smooth).

That’s pretty good correlation. Let’s see what the rolling correlation looks like.

datay1 <- "TOTLNNSA_YoY"
ylim1 <- c(-10, 20)

datay2 <- "DGS10TO1"
ylim2 <- c(-5, 10)

dtStart <- as.Date("1jan1960","%d%b%Y")

w <- 360
corrName <- calcRollingCorr(dfRecession, df.data, df.symbols, datay1, ylim1, datay2, ylim2, w, dtStart)

datay1 <- "TOTLNNSA_YoY"
ylim1 <- c(-10, 20)

datay2 <- "DGS10TO1"
ylim2 <- c(-5, 10)

dtStart <- as.Date("1jan1960","%d%b%Y")

w <- 720
corrName <- calcRollingCorr(dfRecession, df.data, df.symbols, datay1, ylim1, datay2, ylim2, w, dtStart)

One other items, let’s see how loans do versus the federal funds rate

## `geom_smooth()` using formula 'y ~ x'

Baker Hughes Rig Count

BEA Supplemental Estimates, Motor Vehicles

Definitions

Autos–all passenger cars, including station wagons.
Light trucks–trucks up to 14,000 pounds gross vehicle weight, including minivans and
sport utility vehicles. Prior to the 2003 Benchmark Revision light trucks were up to 10,000 pounds.
Heavy trucks–trucks more than 14,000 pounds gross vehicle weight.
Prior to the 2003 Benchmark Revision heavy trucks were more than 10,000 pounds.
Domestic sales–United States (U.S.) sales of vehicles assembled in the U.S., Canada, and Mexico.
Foreign sales–U.S. sales of vehicles produced elsewhere.
Domestic auto production–Autos assembled in the U.S.
Domestic auto inventories–U.S. inventories of vehicles assembled in the U.S., Canada, and Mexico.

TAble 6 - Light Vehicle and Total Vehicle Sales

Auto sales

A WSJ article suggested that auto sales might be a good indicator so bring that to the mix. It does have troughs that correlate with recessions

There might be some seasonal variance in the auto sales so lets take a look at the year over year. The data is pretty noisy, it probably will not make a very good indicator.

BEA Gross Domestic Product

Data in this section come from the Bureau of Economic Analysis.

Table 1.1.5. Gross Domestic Product

[Billions of dollars] Seasonally adjusted at annual rates

A191RC: Gross Domestic Product - Line 1

GDP numbers tend to lag so this series is truly an afterthought. But it does have some correlation with the recessions.

GDP does not reflect the capacity of the economy nor the efficiency. Shrinking capacity and lower prices at constant volumes would indicate improvements in effeciency/productivity which is good for the economy, but does not move the GDP upward.

Looks like the year over year change on the GDP should correlate well with unemployment.

Table 1.1.9. Implicit Price Deflators for Gross Domestic Product

[Index numbers, 2012=100] Seasonally adjusted

A191RD: Gross Domestic Product - Line 1

This is GDP price deflator series.

GDP normalized by CPI

Normalize GDP by CPI

Economic yield curve (GDP to 1-year treasury)

GDP versus the yield on the 1-year. This series was prompted by an article suggesting that the “economic yield curve” should be used to indicate a recession rather than an inverted yield curve. Less of indicator and more of concurrent confirmation of recession. Not sure why they would be related either.

Economic yield curve (GDP to 3-month treasury)

Same idea as above, but applied the 3-month treasury.This one has fewer false triggers, but is not as helpful as 10Y to 3M spread in predicting a recession.

A824RC: National defense Federal Gov’t Expenditures - Line 24

U.S. Bureau of Economic Analysis, Federal Government: National Defense Consumption Expenditures and Gross Investment [FDEFX], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/FDEFX, April 6, 2021.

A825RC: Nondefense Federal Gov’t Expenditures - Line 25

U.S. Bureau of Economic Analysis, Federal Government: Nondefense Consumption Expenditures and Gross Investment [FNDEFX], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/FNDEFX, April 6, 2021.

Table 6.16D. Corporate Profits by Industry

Select series from Table 6.16D

A051RC: Corporate profits with inventory and capital consumption adjustment

From BEA’s documentation (https://www.bea.gov/media/5671):

“BEA’s featured measure of corporate profits — profits from current production - provides a comprehensive and consistent economic measure of the income earned by all U.S. corporations. As such, it is unaffected by changes in tax laws, and it is adjusted for nonreported and misreported income. It excludes dividend income, capital gains and losses, and other financial flows and adjustments, such as deduction for “bad debt.” Thus, the NIPA measure of profits is a particularly useful analytical measure of the health of the corporate sector. For example, in contrast to other popular measures of corporate profits, the NIPA measure did not show the large run-up in profits during the late 1990s that was primarily attributable to capital gains.

Profits after tax with IVA and CCAdj is equal to corporate profits with IVA and CCAdj less taxes on corporate income. It provides an after-tax measure of profits from current production."

Data is Line 1 of Table 6.16D

A053RC: Corporate profits without inventory and capital consumption adjustment

Profits look a bit flat over the last several years in this series.

Table 2.6. Personal Income and Its Disposition, Monthly

Billions of dollars; months are seasonally adjusted at annual rates.

A065RC Personal Income - Line 1

BEA Account Code: A065RC

Personal income is the income that persons receive in return for their provision of labor, land, and capital used in current production and the net current transfer payments that they receive from business and from government.25 Personal income is equal to national income minus corporate profits with inventory valuation and capital consumption adjustments, taxes on production and imports less subsidies, contributions for government social insurance, net interest and miscellaneous payments on assets, business current transfer payments (net), current surplus of government enterprises, and wage accruals less disbursements, plus personal income receipts on assets and personal current transfer receipts. A Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf)

Suggested Citation: U.S. Bureau of Economic Analysis, Personal Income [PI], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/PI, July 11, 2019.

DPCERC: Personal consumption expenditures (PCE) - Table 2.1, Line 29

BEA Account Code: DPCERC Personal consumption expenditures (PCE) is the primary measure of consumer spending on goods and services in the U.S. economy. 1 It accounts for about two-thirds of domestic final spending, and thus it is the primary engine that drives future economic growth. PCE shows how much of the income earned by households is being spent on current consumption as opposed to how much is being saved for future consumption. -https://www.bea.gov/system/files/2019-12/Chapter-5.pdf

Suggested Citation: U.S. Bureau of Economic Analysis, Personal Consumption Expenditures [PCE], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/PCE, June 12, 2020

DPCERG: Personal consumption expenditures Price Index (PCEPI) - Table 2.1, Line 29

BEA Account Code: DPCERG The gross domestic product price index measures changes in prices paid for goods and services produced in the United States, including those exported to other countries. Prices of imports are excluded. The gross domestic product implicit price deflator, or GDP deflator, basically measures the same things and closely mirrors the GDP price index, although the two price measures are calculated differently. The GDP deflator is used by some firms to adjust payments in contracts.

The gross domestic purchases price index is BEA’s featured measure of inflation for the U.S. economy overall. It measures changes in prices paid by consumers, businesses, and governments in the United States, including the prices of the imports they buy.

BEA’s closely followed personal consumption expenditures price index, or PCE price index, is a narrower measure. It looks at the changing prices of goods and services purchased by consumers in the United States. It’s similar to the Bureau of Labor Statistics’ consumer price index for urban consumers. The two indexes, which have their own purposes and uses, are constructed differently, resulting in different inflation rates.

The PCE price index is known for capturing inflation (or deflation) across a wide range of consumer expenses and for reflecting changes in consumer behavior. For example, if the price of beef rises, shoppers may buy less beef and more chicken. Also, BEA revises previously published PCE data to reflect updated information or new methodology, providing consistency across decades of data that’s valuable for researchers. The PCE price index is used primarily for macroeconomic analysis and forecasting. -https://www.bea.gov/resources/learning-center/what-to-know-prices-inflation

Suggested Citation: U.S. Bureau of Economic Analysis, Personal Consumption Expenditures: Chain-type Price Index [PCEPI], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/PCEPI, April 25, 2021.

A072RC: Personal Savings Rate - Line 35

Consumers tend to pull down their savings rates as unemployment decreases and market conditions improve. This series has tended to be unreliable due to the size of revisions during the comprehensive update carried out by the BEA. The last update on this series moved the rate from 4.2 to 6.7 percent.

(https://www.bloomberg.com/news/articles/2018-07-27/americans-have-been-saving-much-more-than-thought-new-data-show)

BEA Account Code: A072RC Personal saving as a percentage of disposable personal income (DPI), frequently referred to as “the personal saving rate,” is calculated as the ratio of personal saving to DPI. Personal saving is equal to personal income less personal outlays and personal taxes; it may generally be viewed as the portion of personal income that is used either to provide funds to capital markets or to invest in real assets such as residences.(https://www.bea.gov/national/pdf/all-chapters.pdf) A Guide to the National Income and Product Accounts of the United States (NIPA).

Suggested Citation: U.S. Bureau of Economic Analysis, Personal Saving Rate [PSAVERT], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/PSAVERT, July 9, 2019.

Take a closer look at the last decade

The relationship between personal savings and unemployment (U-3) can be better visualized with a scatter plot

## `geom_smooth()` using formula 'y ~ x'

## Warning: Removed 190 rows containing non-finite values (stat_smooth).

The fit does not explain most of what is in the plot. Lets take a look at the rolling correlation.

datay1 <- "UNRATE"
ylim1 <- c(2, 12)

datay2 <- "PSAVERT"
ylim2 <- c(0, 35)

dtStart <- as.Date("1jan1985","%d%b%Y")

w <- 360
corrName <- calcRollingCorr(dfRecession, df.data, df.symbols, datay1, ylim1, datay2, ylim2, w, dtStart)

Personal savings to household net worth

A relationship between personal savings and household networth can be seen in a scatter plot. This was suggested by a WSJ article (https://blogs.wsj.com/dailyshot/2018/02/23/the-daily-shot-reasons-for-declining-u-s-household-savings-rate/).

## `geom_smooth()` using formula 'y ~ x'

## Warning: Removed 596 rows containing non-finite values (stat_smooth).

U.S. Census Bureau

U.S. International Trade in Goods and Services (FT900)

U.S. Bureau of Economic Analysis and U.S. Census Bureau, U.S. Imports of Goods by Customs Basis from China [IMPCH], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/IMPCH, October 5, 2019.

New Houses Sold and For Sale by Stage of Construction and Median Number of Months on Sales Market

Read an article suggesting that housing sales and sales growth could be useful. FRED only has new home data so start there.

datay <- "HSN1FNSA"
ylim <- c(0, 200)
dtStart = as.Date('1964-01-01')
p1 <- plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

datay <- "HNFSUSNSA"
ylim <- c(0, 600)
p2 <- plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

datay <- "HNFSUSNSA.minus.HSN1FNSA"
ylim <- c(0, 600)
p3 <-
  plotSingle(
    dfRecession,
    df.data,
    "date",
    datay,
    getPlotTitle(df.symbols, datay),
    "Date",
    getPlotYLabel(df.symbols, datay),
    c(dtStart, Sys.Date()),
    ylim,
    TRUE
  )

grid.arrange(p1,
             p2,
             p3,
             ncol = 1,
             top = "New Housing Sales")

New housing yoy

New Privately-Owned Housing Units Authorized in Permit-Issuing Places

As provided by the Census, start occurs when excavation begins for the footings or foundation of a building. All housing units in a multifamily building are defined as being started when this excavation begins. Beginning with data for September 1992, estimates of housing starts include units in structures being totally rebuilt on an existing foundation.

Suggested Citation: U.S. Census Bureau and U.S. Department of Housing and Urban Development, Housing Starts: Total: New Privately Owned Housing Units Started [HOUST], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/HOUST, June 13, 2020.

Take a look at privately owned starts

New Privately-Owned Houses Sold and For Sale

Suggested Citation: U.S. Census Bureau and U.S. Department of Housing and Urban Development, Median Sales Price of Houses Sold for the United States [MSPUS], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/MSPUS, June 13, 2020.

Finally, take a look at starts times the median price

Durable Goods

Suggested Citation: U.S. Census Bureau, Manufacturers’ New Orders: Durable Goods [UMDMNO], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/UMDMNO, April 26, 2021.

Durable goods, not seasonally adjusted, divided by GDP

Durable goods, seasonally adjusted, divided by GDP

Federal reserve board H.8: Assets and Liabilities of Commercial Banks in the United States

Page 4: Not Seasonally adjusted, billions of dollars

Commercial and industrial loans, all commercial banks - Line 10

Data taken from H.8 Assets and Liabilities of Commercial Banks in the United States. Take a look at SA and NSA data series as weekly and month updates. It should all be similar at this scale.

Suggested Citation: Board of Governors of the Federal Reserve System (US), Commercial and Industrial Loans, All Commercial Banks [BUSLOANS], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/BUSLOANS, July 11, 2019.

Taking a look at the difference in SA and NSA series. Seasonal adjustments do vary, but do not seem to be related to recessions.

The raw series is just too steep for any kind of machine learnine. This needs to be converted to log scale.

That’s a little better, let’s see what the smoothed derivative looks like.

That is odd…looks like this doesn’t cross zero unless we are getting close to, or into, a recession. The year over year tells about the same story. Might be a good indication of the end of a recession.

Consumer loans, all commercial banks - Line 20

Suggested Citation: Board of Governors of the Federal Reserve System (US), Consumer Loans, All Commercial Banks [CONSUMERNSA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/CONSUMERNSA, July 11, 2019.

That spike in consumer loans is due to

“April 9, 2010 (Last revised September 23, 2011): As of the week ending March 31, 2010, domestically chartered banks and foreign-related institutions had consolidated onto their balance sheets the following assets and liabilities of off-balance-sheet vehicles, owing to the adoption of FASB’s Financial Accounting Statements No. 166 (FAS 166),”Accounting for Transfers of Financial Assets," and No. 167 (FAS 167), “Amendments to FASB Interpretation No. 46(R).”

This included a consumer loans, credit cards and other revolving plans change of $321.9B. That was a lot of off-balance-sheet bank assets.

Deposits, All Commercial Banks, all commercial banks - Line 34

Data taken from H.8 Assets and Liabilities of Commercial Banks in the United States. Take a look at SA and NSA data series as weekly and month updates. It should all be similar at this scale.

Suggested Citation: Board of Governors of the Federal Reserve System (US), Deposits, All Commercial Banks [DPSACBW027SBOG], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/DPSACBW027SBOG, May 14, 2020.

Federal reserve board Z.1: Financial Accounts of the United States

From the FRED website (https://fred.stlouisfed.org/release?rid=52):

"The Financial Accounts (formerly known as the Flow of Funds accounts) are a set of financial accounts used to track the sources and uses of funds by sector. They are a component of a system of macroeconomic accounts including the National Income and Product accounts (NIPA) and balance of payments accounts, all of which serve as a comprehensive set of information on the economy’s performance.(1) Some important inferences that can be drawn from the Financial accounts are the financial strength of a given sector, new economic trends, changes in the composition of wealth, and development of new financial instruments over time.(1)

Sectors are compiled into three categories: households, nonfinancial businesses, and banks. The sources of funds for a sector are its internal funds (savings from income after consumption) and external funds (loans from banks and other financial intermediaries). (1) Funds for a given sector are used for its investments in physical and financial assets. Dividing sources and uses of funds into two categories helps the staff of the Federal Reserve System pay particular attention to external sources of funds and financial uses of funds.(2) One example is whether households are borrowing more from banks—or in other words, whether household debt is rising. Another example might be whether banks are using more of their funds to provide loans to consumers. Transactions within a sector are not shown in the accounts; however, transactions between sectors are.(2) Monitoring the external flows of funds provides insights into a sector’s health and the performance of the economy as a whole.

Data for the Financial accounts are compiled from a large number of reports and publications, including regulatory reports such as those submitted by banks, tax filings, and surveys conducted by the Federal Reserve System.(2) The Financial accounts are published quarterly as a set of tables in the Federal Reserve’s Z.1 statistical release.

1. Teplin, Albert M. “The U.S. Flow of Funds Accounts and Their Uses.” Federal Reserve Bulletin, July 2001; http://www.federalreserve.gov/pubs/bulletin/2001/0701lead.pdf.
2. Board of Governors of the Federal Reserve System. “Guide to the Flow of Funds Accounts.” 2000, http://www.federalreserve.gov/apps/fof/."

L.102 Nonfinancial Business

FL102051003.Q: Nonfinancial corporate business; security repurchase agreements; asset

Asset level of nonfinancial business security repo agreements. federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL102051003&t=

L.214 Loans

FL894123005.Q: All sectors; total loans; liability

Sum of domestic financial sectors, all sectors, total mortgages, and households/non-profits. federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL894123005&t=L.107&bc=L.107:FL793068005&suf=Q

FL793068005.Q: Domestic financial sectors; depository institution loans n.e.c.; asset

Sum of Monetary authority; depository institution loans n.e.c.; asset and Private depository institutions; depository institution loans n.e.c.; asset. federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL793068005&t=L.214&suf=Q

FL893169005.Q: All sectors; other loans and advances; liability

Sum of finance, government, and chartered institutions asset levels. https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL893169005&t=L.214&suf=Q

FL893065005.Q: All sectors; total mortgages; asset

https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL893065005&t=L.214&suf=Q

FL893065105.Q: All sectors; home mortgages; asset

https://www.federalreserve.gov/apps/fof/DisplayTable.aspx?t=L.214

FL893065405.Q: All sectors; multifamily residential mortgages; asset

https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL893065405&t=L.214&suf=Q

FL893065505.Q: All sectors; commercial mortgages; asset

https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL893065505&t=L.214&suf=Q

FL893065603.Q: All sectors; farm mortgages; asset

https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL893065603&t=L.214&suf=Q

FL153166000.Q: Households and nonprofit organizations; consumer credit; liability

federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL153166000&t=L.214&suf=Q

B.101 Balance Sheet of Households and Nonprofit Organizations

FL152000005.Q: Households and nonprofit organizations; total assets, Level

string.source ID: FL152000005.Q.

FL152090006.Q: Household Net Worth as Percentage of Disposable Personal Income

string.source ID: FL152090006.Q. Household networth tends to fall as a recession start.

Productivity Yield Curve

GDP versus productivity

Manufacturing output and employees

Not sure if these relates to a recession, but fascinating to see how output and employees change with time.

datay <- "OUTMS"
ylim <- c(60, 120)
dtStart = as.Date('1987-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

datay <- "MANEMP"
ylim <- c(10000, 20000)
dtStart = as.Date('1948-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

datay <- "PRS30006163"
ylim <- c(40, 120)
dtStart = as.Date('1986-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

Shipping volumes might be helpful in determining state of the economy.

datay <- "FRGSHPUSM649NCIS"
ylim <- c(0.8, 1.4)
dtStart = as.Date('1999-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

datay <- "FRGSHPUSM649NCIS_YoY"
ylim <- c(-30, 30)
dtStart = as.Date('1999-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

Freight, loosely, moves inversely to the trade deficit.

datay <- "BOPGTB_YoY"
ylim <- c(-30, 30)
dtStart = as.Date('1999-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

World bank air transportation. Only updated annually so less usefull, but interesting reference to above.

datay <- "WWDIWLDISAIRGOODMTK1"
ylim <- c(0, 250000)
dtStart = as.Date('1999-01-01')
plotSingleQuick(dfRecession, df.data, datay, ylim, dtStart)

Gross private domestic investment

Spending most certainly tips down prior to a recession. The gross private domestic investment data series, plotted in log format below, show how private investment pulls back prior to recessions.

The change in direction is a little easier to see if the derivative is plotted, first YoY then the smoothed derivative

Velocity

Productivity

Date range to match census data

PMI

Industrial Production

This is a look at manufacturing industrial production. The yoY change should be a leading indicator of unemployment.

Housing

Take a look at housing starts. These can drop as rates rise.

Case-schiller price index

Population data

Many of the economic series can be better understood if normalized by population. Basic population and worker data from FRED.

Population to GDP

Look at GDP divided by CPI per person. It flattens and even dips a little prior to a recession. Might be worth looking at the derivative of this series.

That is worth a closer look

datay1 <- "GDPBYCPIAUCSLBYPOPTHM_SmoothDer"
ylim1 <- c(-5, 5)

datay2 <- "RecInit_Smooth"
ylim2 <- c(0, 1)

dtStart <- as.Date("1jan1960","%d%b%Y")

w <- 30
corrName <- calcRollingCorr(dfRecession, df.data, df.symbols, datay1, ylim1, datay2, ylim2, w, dtStart)

Correlation Study

Detailed correlations are explored above. Before concluding, let’s take a look at some overall correlation values to see if anything pops out.

Commodities

As mentioned above, copper, year over year, has some correlation with the recession initiation. It could be useful.

GDP Series

GDP, normalized first by CPI and then by population, looks like it migh correlate inversely with the recession indicators

Financials

Let’s see where we are so far. The correlation plot confirms some of the speculation above. The S&P 500 (GSPC.Open) is well correlated with industrial production (INDPRO), business loans (BUSLOANS), total loans (TOTLNNSA) , and nonfinancial corporate business debt (NCBDBIQ027S).

In this case, I want and indicator that rises prior to a recession. It looks like the unemployment rate (UNRATE), real personal income (W875RX1), and the yield curve (DGS10TO1) are all inversely correlated with the recession initiation indicator.

I thought the modified recession initiation would be a harder match, but there are quite a few correlated variables. Lets take a look at some of those in more detail

Complete list of symbols

Since it is tedious to do this one at a time, all the symbols were entered into a data frame, loaded, and aggregated together in a single xts object.

This is the complete list of symbol names and sources used in the project.